Education Research Bibliography

This annotated bibliography of selected educational literature was developed to support USC faculty, administrators, and schools in the development and evaluation of excellence in teaching. The focus, particularly in the section Teaching Best Practices in the USC Definition of Excellence in Teaching Criteria, is on published research that experimentally validates the effectiveness of practices that promote student learning outcomes. Priority is given to meta-analyses that critically analyze the results of multiple studies and provide corresponding references. The bibliography is not intended to include foundational texts for each topic nor provide literature specific to each discipline.  For additional literature specific to your discipline, you may wish to review the USC Libraries Research Guide indexing educational journals by discipline. A printable version of this bibliography is available.

All references are obtainable from USC Libraries through online access, hardcopy, or, in a few cases, interlibrary loan.  

These texts evaluate practices.  They do not provide guidance on effective implementation.  For resources on how to implement best practices in course design and teaching, please see the CET Resources tab or contact CET at usccet@usc.edu.

If you have recommendations for additional resources to add to the list, please let us know by sending an email to usccet@usc.edu.

To expand any topic in the bibliography, click on the V icon; click on Ʌ to close.

Defining Teaching Excellence

Devlin, M., & Samarawickrema, G. (2010). The Criteria of Effective Teaching in a Changing Higher Education Context. Higher Education Research and Development, 29(2), 111–124. https://doi.org/10.1080/07294360903244398

Discusses attempts at defining excellence in teaching; presents the definition devised by the Australian Learning and Teaching Council, and a discussion of its development with many useful references.

 

Hildebrand, M., Wilson, R., & Dienst, E. (1971). Evaluating university teaching. Berkeley: Center for Research and Development in Higher Education, University of California.

Early attempt to evaluate effective teaching. In this work, a “good teacher” is defined as a teacher who is recognized by students and/or other faculty as a good teacher. Used interviews with students and faculty peers to determine two separate five-component lists of characteristics of a good teacher. They demonstrated that faculty and student evaluations of the quality of individual teachers correlated strongly with each other, although the faculty and students used different criteria to describe what they thought were distinguishing characteristics of a good teacher.

 

Hunt, G., Touzel, T., & Wiseman, D. (1999). Effective teaching : preparation and implementation (3rd ed.). Springfield, Ill.: Charles C. Thomas Publisher.

Summary of research on what constitutes effective teaching. (see Chapter 1)

Faculty Development Programs

Brownwell, S. & Tanner, K. (2012). Barriers to Faculty Pedagogical Change: Lack of Training, Time, Incentives, and…Tensions with Professional Identity? CBE—Life Sciences Education, 11(4), 339–346. Retrieved from https://www.lifescied.org/doi/10.1187/cbe.12-09-0163

Proposes that professional identity issues are a key barrier to faculty embracing pedagogical change. Proposes model with four components.

 

Hattie, J. (2009). Visible learning : a synthesis of over 800 meta-analyses relating to achievement (pp. 119-21). London: Routledge.

Instructor professional development improves student outcomes.

 

Institutional Management in Higher Education (2012). Fostering Quality Teaching in Higher Education: Policies and Practices. Retrieved from https://www.lifescied.org/doi/10.1187/cbe.12-09-0163 

Discusses steps toward promotion of excellence in teaching in the university setting, including development and evaluation. Includes many case studies.

Teaching Best Practices in the USC Definition of Excellence in Teaching Criteria

Respectful and Professional

Students producing self-explanations

Chi, M., de Leeuw, N., Chiu, M., & LaVancher, C. (1994). Eliciting Self-Explanations Improves Understanding. Cognitive Science: A Multidisciplinary Journal of Artificial Intelligence, Linguistics, Neuroscience, Philosophy, Psych, 18(3), 439–477. https://doi.org/10.1016/0364-0213(94)90016-7

Demonstrates that students who verbalize an explanation of new information had a greater performance when tested on the new information. Includes a review of other research supporting this self-explanation effect.

 

Hattie, J. (2009). Visible learning : a synthesis of over 800 meta-analyses relating to achievement (pp. 203-4). London: Routledge.

Student learning is improved through reciprocal teaching, wherein students take the role of instructor.

 

Mayer, R. E., & Alexander, P. A. (2016). Handbook of research on learning and instruction (2nd ed.). New York: Routledge.

“Students generating self-explanations can experience greater comprehension." (see Chapter 16)

Challenging and Supportive

Classroom environment

Hattie, J. (2009). Visible learning : a synthesis of over 800 meta-analyses relating to achievement (p. 103). London: Routledge.

Learning outcomes are positively correlated with a supportive, cohesive classroom environment.

 

Steele, C., & Aronson, J. (1995). Stereotype threat and the intellectual test performance of African Americans. Journal of Personality and Social Psychology, 69(5), 797–811. https://doi.org/10.1037/0022-3514.69.5.797

Demonstrates that details of classroom environment disproportionally decrease performance, and increase stress measures, of Black college students relative to White students.

Defining learning objectives

Friedman, M., Harwell, D., & Schnepel, K. (2006). Effective instruction: a handbook of evidence-based strategies (pp. 35-7). Columbia, S.C.: Institute for Evidence-Based Decision-Making in Education.

Defining instructional expectations is positively related to student achievement.

 

Mayer, R. E., & Alexander, P. A. (2016). Handbook of research on learning and instruction (2nd ed.) (p. 301). New York: Routledge.

Contains an interesting discussion of how setting goals can impact not just students, but also instructors.

Promoting higher-order thinking

Sternberg, R. (1985). Beyond IQ: a triarchic theory of human intelligence. Cambridge [Cambridgeshire]: Cambridge University Press. pp. 283-289.

A theory of insight, with implications for how to teach it.

Inclusive and Diverse

Groupwork

Barkley, E., Major, C., & Cross, K. (2014). Collaborative learning techniques : a handbook for college faculty (2nd ed.) (pp. 20-2). San Francisco, California: Jossey-Bass.

Demonstrated that student collaborative activities increased learning outcomes compared to individual activities in online courses.

 

Hattie, J. (2009). Visible learning : a synthesis of over 800 meta-analyses relating to achievement (pp. 94-5, 212-4). London: Routledge.

Learning is enhanced by group cooperative/group work, compared to individual work.

 

Johnson, D., Johnson, R., & Smith, K. (2014). Cooperative Learning: Improving University Instruction by Basing Practice on Validated Theory. Journal on Excellence in College Teaching, 25, 85–4), p.85–118.

Meta-analysis of collaborative learning studies.

 

Mayer, R. E., & Alexander, P. A. (2016). Handbook of research on learning and instruction (2nd ed.). New York: Routledge.

"The literature on peer relationships and interactions provides strong and convincing evidence that peer interactions within informal relationships and more structured learning activities are related positively to a wide range of motivational and academic competencies.” (see Chapter 17)

 

Mayer, R. E., & Alexander, P. A. (2016). Handbook of research on learning and instruction (2nd ed.). New York: Routledge.

“Cooperative learning can be a powerful strategy for increasing student achievement” when it incorporates “group goals and individual accountability.” (see Chapter 18)

 

Pascarella, E., & Terenzini, P. (2005). How college affects students : a third decade of research (1st ed.) (pp. 102-6, 180-1). San Francisco: Jossey-Bass.

Collaborative learning approaches can significantly enhance learning, compared to students working individually. Cognitive gains through collaborative/cooperative/group learning reviewed.

 

Prince, M. (2004). Does Active Learning Work? A Review of the Research. Journal of Engineering Education, 93(3), 223–231.

Reviews literature support for groupwork/collaboration, problem-based learning, and active learning (in contrast to lecture).

 

Springer, L., Donovan, S., & Stanne, M. (1999). Effects of Small-Group Learning on Undergraduates in Science, Mathematics, Engineering, and Technology: A Meta-Analysis. Review of Educational Research, 69(1), 21–51. https://doi.org/10.3102/00346543069001021

Demonstrated that student collaborative activities increased learning outcomes compared to individual activities in classroom settings.

Reducing student stress

Fredrickson, B., & Branigan, C. (2005). Positive emotions broaden the scope of attention and thought‐action repertoires. Cognition & Emotion, 19(3), 313–332. https://doi.org/10.1080/02699930441000238

Negative emotions can hamper cognitive performance.

 

Kuhlmann, S., Kirschbaum, C., & Wolf, O. (2005). Effects of oral cortisol treatment in healthy young women on memory retrieval of negative and neutral words. Neurobiology of Learning and Memory, 83(2), 158–162. https://doi.org/10.1016/j.nlm.2004.09.001

Stress reduces retrieval of memories for women.

 

Tollenaar, M., Elzinga, B., Spinhoven, P., & Everaerd, W. (2009). Immediate and prolonged effects of cortisol, but not propranolol, on memory retrieval in healthy young men. Neurobiology of Learning and Memory, 91(1), 23–31. https://doi.org/10.1016/j.nlm.2008.08.002

Stress reduces retrieval of memories for men.

Student participation

Dallimore, E., Hertenstein, J., & Platt, M. (2013). Impact of Cold-Calling on Student Voluntary Participation. Journal of Management Education, 37(3), 305–341. https://doi.org/10.1177/1052562912446067

Significantly more students answer questions voluntarily in classes with high cold-calling, and the number of students voluntarily answering questions in high cold-calling classes increases over time.

Relevant and Engaging

Limited use of lecture

Ruhl, K., & And Others. (1987). Using the Pause Procedure to Enhance Lecture Recall. Teacher Education and Special Education, 10(1), 14–18.

Demonstrates learning is enhanced by breaking up lectures into short segments separated by pauses during which student groups discuss the lecture content.

 

Thomas, E. J. (1972) The Variation of Memory with Time for Information Appearing During a Lecture. Studies in Adult Education, 4:1, 57-62 https://doi.org/10.1080/02660830.1972.11771885

Demonstrates student learning dropping as lecture progresses. Demonstrates effective student learning only during start and end of lecture.

Active learning

Deslauriers, L., Schelew, E., & Wieman, C. (2011). Improved learning in a large-enrollment physics class.(REPORTS)(Author abstract)(Report). Science, 332(6031), 862–864. https://doi.org/10.1126/science.1201783

Demonstrates increased student attendance, higher engagement, and more than twice the learning in Physics section taught using research-based instruction by an inexperienced instructor, compared to traditional lecture by an experienced instructor. The instructional approach used in the experimental section included pre-class reading assignments and pre-class reading quizzes (flipped class), in-class clicker questions with student-student discussion, small-group active-learning tasks, and targeted in-class instructor feedback.

 

Freeman, S., Eddy, S., McDonough, M., Smith, M., Okoroafor, N., Jordt, H., & Wenderoth, M. (2014). Active learning increases student performance in science, engineering, and mathematics.(PSYCHOLOGICAL AND COGNITIVE SCIENCES)(Report)(Author abstract). Proceedings of the National Academy of Sciences of the United States, 111(23), 8410–8845. https://doi.org/10.1073/pnas.1319030111

Meta-analysis. The studies analyzed here document that active learning leads to increases in examination performance that would raise average grades by a half a letter, and that failure rates under traditional lecturing increase by 55% over the rates observed under active learning.

 

Hake, R. (1998). Interactive-engagement versus traditional methods: A six-thousand-student survey of mechanics test data for introductory physics courses. American Journal of Physics, 66(1), 64–74. https://doi.org/10.1119/1.18809

Statistically analyzes student pre- and post- course data to prove that student engagement and interaction methods are approximately 2x as effective as traditional lecture.

 

Pascarella, E., & Terenzini, P. (2005). How college affects students : a third decade of research (1st ed.) (pp. 101-2). San Francisco: Jossey-Bass.

Cognitive gains through active learning reviewed.

 

Prince, M. (2004). Does Active Learning Work? A Review of the Research. Journal of Engineering Education, 93(3), 223–231. https://doi.org/10.1002/j.2168-9830.2004.tb00809.x

Reviews literature support for groupwork/collaboration, problem-based learning, and active learning (in contrast to lecture).

Classroom discussion

Dudley-Marling, C. (2013). Discussion in Postsecondary Classrooms: A Review of the Literature. SAGE Open, 3(4). https://doi.org/10.1177/2158244013515688

Discussion of the limited and mixed evidence that college classroom discussions promote learning.

Problem solving

Hattie, J. (2009). Visible learning : a synthesis of over 800 meta-analyses relating to achievement (p. 210). London: Routledge.

Learning focused on solving problems is an effective pedagogical approach.

Use of real-world/concrete examples

Ainley, M., Hidi, S., & Berndorff, D. (2002). Interest, learning, and the psychological processes that mediate their relationship. Journal of Educational Psychology, 94, 545–561.

Research demonstrating that student learning gains improved when the topic being learned was of interest to the student. Includes a literature review of student interest’s impact on learning.

 

Goldstone, R., & Son, J. (2005). The Transfer of Scientific Principles Using Concrete and Idealized Simulations. Journal of the Learning Sciences, 14(1), 69–110. https://doi.org/10.1207/s15327809jls1401_4

Concrete examples (in contrast to abstract) improve learning of theories.

Visual support for instruction

Mayer, R. (2018). Keynote PowerPoint for CET Teaching With Technology Conference. http://cet.usc.edu/cet/wp-content/uploads/2018/05/2018_TWT_keynote_slides.pptx

Provides a summary of previous and ongoing research into best practices regarding multimedia in education.

 

Mayer, R. E., & Alexander, P. A. (2016). Handbook of research on learning and instruction (2nd ed.). New York: Routledge.

“People learn better from words and pictures than from words alone.” (see Chapter 22)

 

Mayer, R. (n.d.). Multimedia instruction. In Handbook of Research on Educational Communications and Technology: Fourth Edition (pp. 385–399). Springer New York. https://doi.org/10.1007/978-1-4614-3185-5_31

Good for multimedia principles with lots of citations

 

Vekiri, I. (2002). What Is the Value of Graphical Displays in Learning? Educational Psychology Review, 14(3), 261–312. https://doi.org/10.1023/A:1016064429161

Improvement in learning from use of visuals and verbal instruction over just verbal instruction.

 

Prepared and Purposeful

Activating prior student knowledge

Bransford, J., & Johnson, M. (1972). Contextual prerequisites for understanding: Some investigations of comprehension and recall. Journal of Verbal Learning and Verbal Behavior, 11(6), 717–726. https://doi.org/10.1016/S0022-5371(72)80006-9

Prior knowledge and context provided before a learning experience impact a student’s ability to later recall learned information.

 

Kole, J., & Healy, A. (2007). Using prior knowledge to minimize interference when learning large amounts of information. Memory and Cognition, 35(1), 124–137. https://doi.org/10.3758/BF03195949

Associating new information to be learned with pre-existing knowledge can strongly improve learning in situations requiring the acquisition of large amounts of information.

Instructor demonstrating worked examples

Mayer, R. E., & Alexander, P. A. (2016). Handbook of research on learning and instruction (2nd ed.). New York: Routledge.

Teaching with worked examples is an established practice that promotes learning. (see Chapter 15)

Student reflection

Zimmerman, B. J., Moylan, A., Hudesman, J., White, N., & Flugman, B. (2011). Enhancing self-reflection and mathematics achievement of at-risk urban technical college students. Psychological Test and Assessment Modeling, 53(1), 141-160.

Students receiving self-reflection training outperformed students in the control group on instructor-developed examinations. Self-reflection training also increased students’ pass rate on a national gateway examination in mathematics by 25% in comparison to that of control students.

Fair and Equitable

Establishing learning goals with students

Rothkopf, E., & Billington, M. (1979). Goal-Guided Learning from Text: Inferring a Descriptive Processing Model from Inspection Times and Eye Movements. Journal of Educational Psychology, 71(3), 310–327. https://doi.org/10.1037/0022-0663.71.3.310

Students who are made aware of learning goals engage learning experiences differently and more effectively than students not provided such information.

 

University of Nevada, Las Vegas (n.d.). Transparency in Learning and Teaching in Higher Education. Retrieved from https://www.unlv.edu/provost/teachingandlearning

Site with references to literature. Increased transparency in assignment descriptions improves student outcomes.

Instructor feedback

Goodwin, B., & Miller, K. (2012). Good feedback is targeted, specific, timely.(Research Says)(Column). Educational Leadership, 70(1), 82–83.

Review of research on the use of feedback to promote learning. Easy reading, with citations.

 

Hattie, J. (2009). Visible learning : a synthesis of over 800 meta-analyses relating to achievement (pp. 173-8). London: Routledge.

Effective feedback from the instructor significantly and positively impacts student learning outcomes.

 

Hattie, J. (2012). Visible learning for teachers: maximizing impact on learning. London : Routledge.

A discussion of effective feedback practices, including a very helpful guide to feedback prompts on page 133. (Chapter 7)

 

Hattie, J., & Timperley, H. (2007). The Power of Feedback. Review of Educational Research, 77(1), 81–112. https://doi.org/10.3102/003465430298487

A review of the research into feedback as a pedagogical technique, including the relative impacts of various forms of feedback demonstrating the promotion of learning goals by instructor feedback (mostly written).

 

Hunt, G., Wiseman, D., & Touzel, T. (2009). Effective teaching: preparation and implementation (4th ed.). Springfield, Ill.: C.C. Thomas. pp. 26-8

Includes a summary of effective and ineffective uses of praise as feedback. (pp. 26-8)

 

Mathan, S., & Koedinger, K. (2005). Fostering the Intelligent Novice: Learning From Errors With Metacognitive Tutoring. Educational Psychologist, 40(4), 257–265. https://doi.org/10.1207/s15326985ep4004_7

Students receiving immediate “intelligent novice” feedback acquire a deeper conceptual understanding of principles and demonstrate better transfer and retention of skills over time. Intelligent novice feedback models error detection and correction, and supports students in the exercise of these skills (rather than pointing out errors and recommending specific corrections).

 

Mayer, R. E., & Alexander, P. A. (2016). Handbook of research on learning and instruction (2nd ed.). New York: Routledge.

Includes an excellent literature review of the use of feedback by instructors to promote learning gains. (see Chapter 14)

 

Mckendree, J. (1990). Effective Feedback Content for Tutoring Complex Skills. Human–Computer Interaction, 5(4), 381–413. https://doi.org/10.1207/s15327051hci0504_2

Goal-oriented feedback is effective at guiding students through skill development.

 

Pashler, H., Cepeda, N., Wixted, J., & Rohrer, D. (2005). When Does Feedback Facilitate Learning of Words? Journal of Experimental Psychology: Learning, Memory, and Cognition, 31(1), 3–8. https://doi.org/10.1037/0278-7393.31.1.3

Demonstrates evidence that corrective feedback after incorrect answers significantly improves later performance. Also includes a review of other relevant research.

Evidence-Based

Formative assessment

Dunlosky, J., Rawson, K., Marsh, E., Nathan, M., & Willingham, D. (2013). Improving Students’ Learning With Effective Learning Techniques: Promising Directions From Cognitive and Educational Psychology. Psychological Science in the Public Interest : a Journal of the American Psychological Society, 14(1), 4–58. https://doi.org/10.1177/1529100612453266

See section titled “Practice testing” for literature review.

 

Hattie, J. (2009). Visible learning : a synthesis of over 800 meta-analyses relating to achievement (pp. 185-6). London: Routledge.

Planned, frequent, deliberate practice by students improves learning.

 

Roediger, H., & Karpicke, J. (2006). The Power of Testing Memory: Basic Research and Implications for Educational Practice. Perspectives on Psychological Science, 1(3), 181–210. https://doi.org/10.1111/j.1745-6916.2006.00012.x

A review of research literature on the learning benefits from testing (formative evaluation)

Grading based on student mastery

Covington, M., Von Hoene, L., & Voge, D. (2017). Life beyond grades: designing college courses to promote intrinsic motivation. Cambridge, United Kingdom: Cambridge University Press.

Grade curving, see pp. 22-24, 237-243. Extra credit, see pp. 234-6.

 

Dubey, P., & Geanakoplos, J. (2010). Grading exams: 100, 99, 98, … or A, B, C ? Games and Economic Behavior, 69(1), 72–94. https://doi.org/10.1016/j.geb.2010.02.001

Demonstrates that grading on a curve is inferior to absolute grading (grading in which an individual student’s grade is independent of those of other students). Note: the content of this article is well beyond the understanding of this bibliography’s author; it is included for the benefit of those who have the necessary mathematical competency.

Rubrics

Jonsson, A., & Svingby, G. (2007). The Use of Scoring Rubrics: Reliability, Validity and Educational Consequences. Educational Research Review, 2(2), 130–144. https://doi.org/10.1016/j.edurev.2007.05.002

Literature review on use of rubrics. The reliable scoring of performance assessments can be enhanced by the use of rubrics.

 

Panadero, E., & Jonsson, A. (2013). The Use of Scoring Rubrics for Formative Assessment Purposes Revisited: A Review. Educational Research Review, 9(1), 129–144. https://doi.org/10.1016/j.edurev.2013.01.002

Literature review demonstrates that rubrics can influence student learning positively as a formative tool; also there are several different ways for the use of rubrics to mediate improved performance and self-regulation.

Instructor Evaluation

Systems for Instructor Evaluation

Association of American Universities (2018). AAU Undergraduate STEM Education Initiative. Retrieved from https://www.aau.edu/sites/default/files/AAU-Files/STEM-Education-Initiative/P%26T-Matrix.pdf

“This matrix is intended to capture strategies campuses are using to incorporate evidence beyond student course evaluation in the summative evaluation of faculty members’ teaching (e.g., promotion and tenure, and annual/merit reviews).”

 

Institutional Management in Higher Education (2012). Fostering Quality Teaching in Higher Education: Policies and Practices. Retrieved from https://docs.google.com/viewer?url=http%3A%2F%2Fwww.oktemvardar.com%2Farticles%2FFostering%2520Q.%2520Teching.%2520oecd.imhe%25202012..pdf

Discusses steps toward promotion of excellence in teaching in the university setting, including development and evaluation. Includes many case studies.

 

Magno, C. (2012). Assessing higher education teachers through peer assistance and review. International Journal of Educational and Psychological Assessment, 9, 104–120. Retrieved from http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2287173

A tool used for peer review of teaching was trialed and tested for statistical reliability and validity.

 

Nygaard, C., Courtney, N., & Bartholomew, P. (2013). Quality enhancement of university teaching and learning. Faringdon, Oxfordshire: Libri Publishing.

A set of focus questions to guide peer evaluation, with constituents informed by research.

 

Thomas, S., Chie, Q., Abraham, M., Raj, S., & Beh, L. (2014). A Qualitative Review of Literature on Peer Review of Teaching in Higher Education: An Application of the SWOT Framework. Review of Educational Research, 84(1), 112–159. https://doi.org/10.3102/0034654313499617

A review and meta-analysis of studies of peer review of teaching. Includes a SWOT analysis of PRT.

Student Surveys

Uttl, B., White, C., & Gonzalez, D. (2017). Meta-analysis of faculty’s teaching effectiveness: Student evaluation of teaching ratings and student learning are not related. Studies in Educational Evaluation, 54(C), 22–42. https://doi.org/10.1016/j.stueduc.2016.08.007

This “up-to-date meta-analysis of all multisection studies revealed no significant correlations between the SET ratings and learning.”

General Teaching and Learning Resources

Ambrose, S. (2010). How learning works seven research-based principles for smart teaching (1st ed.). San Francisco: Jossey-Bass.

Discussions of research-based pedagogical practices, with literature citations.

 

Anderson, L., Krathwohl, D., & Bloom, B. (2001). A taxonomy for learning, teaching, and assessing : a revision of Bloom’s taxonomy of educational objectives (Complete ed.). New York: Longman.

Chapter 3: revised Bloom’s Taxonomy. Good as general reference to the taxonomy but not research.

 

Nilson, L. (2016). Teaching at its best : a research-based resource for college instructors  (Fourth edition.). San Francisco, California: Jossey-Bass.

Available online through USC Libraries. A good general overview of college pedagogy. Not a lot of references to evidence but helpful summaries.

 

Sousa, D. A. (2011). How the brain learns (4th ed.). Thousand Oaks, CA: Corwin.

Good description of brain functions and biology, particularly related to learning and memory.

 

The Chronicle of Higher Education (2018). An Engineering Professor Asked His Colleagues to Help Him Analyze His Teaching. Here’s What He Learned. Retrieved from https://www.chronicle.com/article/An-Engineering-Professor-Asked/244719

Story by faculty member of how he experimented with his classes to explore the effects of different pedagogies. May be of interest as a narrative in support of faculty development in teaching.