Improvement Research in Education · Search · University of Michigan CoRE Project

A Roadmap for Incorporating Online Social Media in Educational Research

Karimi, H., Derr, T., Torphy, K. T., Frank, K. A., & Tang, J. (2019). A Roadmap for Incorporating Online Social Media in Educational Research. Teachers College Record, 121(14), 1–24. https://doi.org/10.1177/016146811912101412

Culturally Relevant Curriculum Materials in the Age of Social Media and Curation

Hu, S., Torphy, K. T., & Opperman, A. (2019). Culturally Relevant Curriculum Materials in the Age of Social Media and Curation. Teachers College Record, 121(14), 1–22. https://doi.org/10.1177/016146811912101409

From Cloud to Classroom: Mathematics Teachers’ Planning and Enactment of Resources Accessed within Virtual Spaces

Hu, S., Torphy, K. T., Evert, K., & Lane, J. L. (2020). From Cloud to Classroom: Mathematics Teachers’ Planning and Enactment of Resources Accessed within Virtual Spaces. Teachers College Record, 122(6), 1–33. https://doi.org/10.1177/016146812012200606

Cognitive Rigor: Blending the Strengths of Bloom's Taxonomy and Webb's Depth of Knowledge to Enhance Classroom-Level Processes

Hess, K. K., Jones, B. S., Carlock, D., & Walkup, J. R. (2009). Cognitive Rigor: Blending the Strengths of Bloom’s Taxonomy and Webb’s Depth of Knowledge to Enhance Classroom-Level Processes. In Online Submission. https://eric.ed.gov/?id=ED517804

Examining Pinterest as a Curriculum Resource for Negative Integers: An Initial Investigation

Hertel, J. T., & Wessman-Enzinger, N. M. (2017). Examining Pinterest as a Curriculum Resource for Negative Integers: An Initial Investigation. Education Sciences, 7(2), Article 2. https://doi.org/10.3390/educsci7020045

Tracking Job Losses for Mothers of School-Age Children During a Health Crisis

Heggeness, M. L., Fields, J., García Trejo, Y. A., & Schulzetenberg, A. (2021). Tracking Job Losses for Mothers of School-Age Children During a Health Crisis [US Census Bureau]. Moms, Work and the Pandemic. https://www.census.gov/library/stories/2021/03/moms-work-and-the-pandemic.html

A Conceptual Framework of Teacher Motivation for Social Media Use

Hashim, A. K., & Carpenter, J. P. (2019). A Conceptual Framework of Teacher Motivation for Social Media Use. Teachers College Record, 121(14), 1–18. https://doi.org/10.1177/016146811912101405

Teacher Training, Teacher Quality and Student Achievement

Harris, D. N., & Sass, T. R. (2011). Teacher Training, Teacher Quality and Student Achievement. Journal of Public Economics, 95(7), 798–812. https://doi.org/10.1016/j.jpubeco.2010.11.009

A Decade of Research on K–12 Teaching and Teacher Learning with Social Media: Insights on the State of the Field

Greenhow, C., Galvin, S. M., Brandon, D. L., & Askari, E. (2020). A Decade of Research on K–12 Teaching and Teacher Learning with Social Media: Insights on the State of the Field. Teachers College Record, 122(6), 1–72. https://doi.org/10.1177/016146812012200602

Social Media Big Data Analytics: A Survey

Ghani, N. A., Hamid, S., Targio Hashem, I. A., & Ahmed, E. (2019). Social Media Big Data Analytics: A Survey. Computers in Human Behavior, 101, 417–428. https://doi.org/10.1016/j.chb.2018.08.039

National Conference on Studies in Teaching: Teaching as Clinical Information Processing

Gage, N. L. (Ed.). (1975). National Conference on Studies in Teaching: Teaching as Clinical Information Processing. U.S. Department of Health, Education and Welfare, National Institute of Education.

The Study of Elementary Mathematics Instruction

Frank, K. A., Youngs, P. A., Bieda, K. N., & Salloum, S. J. (n.d.). The Study of Elementary Mathematics Instruction. The Study of Element. Retrieved November 21, 2022, from https://www.studyofelemmath.org

Social Media, Who Cares? A Dialogue Between a Millennial and a Curmudgeon

Frank, K. A., & Torphy, K. T. (2019). Social Media, Who Cares? A Dialogue Between a Millennial and a Curmudgeon. Teachers College Record, 121(14), 1–24. https://doi.org/10.1177/016146811912101411

Social Networks and Educational Opportunity

Frank, K., Lo, Y., Torphy, K., & Kim, J. (2018). Social Networks and Educational Opportunity. In B. Schneider (Ed.), Handbook of the Sociology of Education in the 21st Century (pp. 297–316). Springer International Publishing. https://doi.org/10.1007/978-3-319-76694-2_13

From Interpretation to Instructional Practice: A Network Study of Early-Career Teachers’ Sensemaking in the Era of Accountability Pressures and Common Core State Standards

Frank, K. A., Kim, J., Salloum, S. J., Bieda, K. N., & Youngs, P. (2020). From Interpretation to Instructional Practice: A Network Study of Early-Career Teachers’ Sensemaking in the Era of Accountability Pressures and Common Core State Standards. American Educational Research Journal, 57(6), 2293–2338. https://doi.org/10.3102/0002831220911065

Constitution For Effective School Governance

Frank, K. A. (2015). Constitution For Effective School Governance. Green & Write. https://education.msu.edu/green-and-write/2015/constitution-for-effective-school-governance/

Data Science in Education Using R

Estrellado, R. A., Freer, E. A., Mostipak, J., Rosenberg, J. M., & Velásquez, I. C. (2020). Data Science in Education Using R. Routledge.

Pinterest: A Review of Social Media’s Newest Sweetheart

Engauge. (2012). Pinterest: A Review of Social Media’s Newest Sweetheart. Engauge. https://d2wulyp08c6njk.cloudfront.net/pdf/Engauge-Pinterest.pdf

The Fifth Estate Emerging through the Network of Networks

Dutton, W. H. (2009). The Fifth Estate Emerging through the Network of Networks. Prometheus, 27(1), 1–15. https://doi.org/10.1080/08109020802657453

How Conversations Around Campfires Came to Be

Dunbar, R. I. M. (2014). How Conversations Around Campfires Came to Be. Proceedings of the National Academy of Sciences, 111(39), 14013–14014. https://doi.org/10.1073/pnas.1416382111

Commentary: New Paradigms for Understanding Elementary Teachers’ Interactions with Instructional Materials

Drake, C. (2021). Commentary: New Paradigms for Understanding Elementary Teachers’ Interactions with Instructional Materials. The Elementary School Journal, 122(1), 136–140. https://doi.org/10.1086/715631

Experience and Education

Dewey, J. (1938). Experience and Education. Macmillan.

The Social Side of Educational Policy: How Social Media is Changing the Politics of Education

Daly, A. J., Supovitz, J., & Fresno, M. D. (2019). The Social Side of Educational Policy: How Social Media is Changing the Politics of Education. Teachers College Record, 121(14), 1–26. https://doi.org/10.1177/016146811912101402

Educational Leadership in the Twitterverse: Social Media, Social Networks, and the New Social Continuum

Daly, A. J., Liou, Y.-H., Fresno, M. D., Rehm, M., & Bjorklund, P. (2019). Educational Leadership in the Twitterverse: Social Media, Social Networks, and the New Social Continuum. Teachers College Record, 121(14), 1–20. https://doi.org/10.1177/016146811912101404

#Cloud2Class: The Disruption and Reorganization of Access and Use of Educational Resources in the 21st Century [Special Issue]

Daly, A. J., Frank, K. A., & Torphy, K. T. (Eds.). (2020). #Cloud2Class: The Disruption and Reorganization of Access and Use of Educational Resources in the 21st Century [Special Issue]. American Journal of Education, 127(1), 1–11.

Teachers College Record Year-End Issue on Social Media in Education [Special Issue]

Daly, A. J., Frank, K. A., Greenhow, C., & Torphy, K. T. (Eds.). (2019). Teachers College Record Year-End Issue on Social Media in Education [Special Issue]. Teachers College Record, 121(14), 1–12.

Human Ancestors Tamed Fire Earlier Than Thought

Cohen, J. (2018). Human Ancestors Tamed Fire Earlier Than Thought. History. https://www.history.com/news/human-ancestors-tamed-fire-earlier-than-thought

A Time for Emoting: When Affect-Sensitivity Is and Isn’t Effective at Promoting Deep Learning

D’Mello, S., Lehman, B., Sullins, J., Daigle, R., Combs, R., Vogt, K., Perkins, L., & Graesser, A. (2010). A Time for Emoting: When Affect-Sensitivity Is and Isn’t Effective at Promoting Deep Learning. In V. Aleven, J. Kay, & J. Mostow (Eds.), Intelligent Tutoring Systems (pp. 245–254). Springer. https://doi.org/10.1007/978-3-642-13388-6_29

The Use and Effectiveness of Electronic Clinical Decision Support Tools in the Ambulatory/Primary Care Setting: A Systematic Review of the Literature

Bryan, C., & Boren, S. A. (2008). The Use and Effectiveness of Electronic Clinical Decision Support Tools in the Ambulatory/Primary Care Setting: A Systematic Review of the Literature. Informatics in Primary Care, 16(2), 79–91. https://doi.org/10.14236/jhi.v16i2.679

A Time Series Interaction Analysis Method for Building Predictive Models of Learners Using Log Data

Brooks, C., Thompson, C., & Teasley, S. (2015). A Time Series Interaction Analysis Method for Building Predictive Models of Learners Using Log Data. Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, 126–135. https://doi.org/10.1145/2723576.2723581

Receiver Operating Characteristic (ROC) Area Under the Curve (AUC): A Diagnostic Measure for Evaluating the Accuracy of Predictors of Education Outcomes

Bowers, A. J., & Zhou, X. (2019). Receiver Operating Characteristic (ROC) Area Under the Curve (AUC): A Diagnostic Measure for Evaluating the Accuracy of Predictors of Education Outcomes. Journal of Education for Students Placed at Risk (JESPAR), 24(1), 20–46. https://doi.org/10.1080/10824669.2018.1523734

Do We Know Who Will Drop Out? A Review of the Predictors of Dropping out of High School: Precision, Sensitivity, and Specificity

Bowers, A. J., Sprott, R., & Taff, S. A. (2012). Do We Know Who Will Drop Out? A Review of the Predictors of Dropping out of High School: Precision, Sensitivity, and Specificity. The High School Journal, 96(2), 77–100.

Supporting the Initial Work of Evidence-Based Improvement Cycles Through a Data-Intensive Partnership

Bowers, A. J., & Krumm, A. E. (2021). Supporting the Initial Work of Evidence-Based Improvement Cycles Through a Data-Intensive Partnership. Information and Learning Sciences, 122(9/10), 629–650. https://doi.org/10.1108/ILS-09-2020-0212

Quantitative Research Methods Training in Education Leadership and Administration Preparation Programs as Disciplined Inquiry for Building School Improvement Capacity

Bowers, A. J. (2017). Quantitative Research Methods Training in Education Leadership and Administration Preparation Programs as Disciplined Inquiry for Building School Improvement Capacity. Journal of Research on Leadership Education, 12(1), 72–96. https://doi.org/10.1177/1942775116659462

The Feasibility of Real-Time Intraoperative Performance Assessment With SIMPL (System for Improving and Measuring Procedural Learning): Early Experience From a Multi-institutional Trial

Bohnen, J. D., George, B. C., Williams, R. G., Schuller, M. C., DaRosa, D. A., Torbeck, L., Mullen, J. T., Meyerson, S. L., Auyang, E. D., Chipman, J. G., Choi, J. N., Choti, M. A., Endean, E. D., Foley, E. F., Mandell, S. P., Meier, A. H., Smink, D. S., Terhune, K. P., Wise, P. E., … Fryer, J. P. (2016). The Feasibility of Real-Time Intraoperative Performance Assessment With SIMPL (System for Improving and Measuring Procedural Learning): Early Experience From a Multi-institutional Trial. Journal of Surgical Education, 73(6), e118–e130. https://doi.org/10.1016/j.jsurg.2016.08.010

Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics: An Issue Brief

Bienkowski, M., Feng, M., & Means, B. (2014). Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics: An Issue Brief (p. 60). U.S. Department of Education.

Building a Village Through Data: A Research–Practice Partnership to Improve Youth Outcomes

Biag, M. (2017). Building a Village Through Data: A Research–Practice Partnership to Improve Youth Outcomes. The School Community Journal, 27, 9–27.

Using Health Systems Engineering Approaches to Prepare for Tailoring of Implementation Interventions

Barnes, G. D., Acosta, J., Kurlander, J. E., & Sales, A. E. (2021). Using Health Systems Engineering Approaches to Prepare for Tailoring of Implementation Interventions. Journal of General Internal Medicine, 36(1), 178–185. https://doi.org/10.1007/s11606-020-06121-5

Educational Data Mining and Learning Analytics

Baker, R., & Siemens, G. (2014). Educational Data Mining and Learning Analytics. In R. K. Sawyer (Ed.), The Cambridge Handbook of the Learning Sciences (2nd ed., pp. 253–272). Cambridge University Press. https://doi.org/10.1017/CBO9781139519526.016

Better to Be Frustrated Than Bored: The Incidence, Persistence, and Impact of Learners’ Cognitive–Affective States During Interactions with Three Different Computer-Based Learning Environments

Baker, R. S. J. d., D’Mello, S. K., Rodrigo, Ma. M. T., & Graesser, A. C. (2010). Better to Be Frustrated Than Bored: The Incidence, Persistence, and Impact of Learners’ Cognitive–Affective States During Interactions with Three Different Computer-Based Learning Environments. International Journal of Human-Computer Studies, 68(4), 223–241. https://doi.org/10.1016/j.ijhcs.2009.12.003

Off-Task Behavior in the Cognitive Tutor Classroom: When Students "Game the System"

Baker, R. S., Corbett, A. T., Koedinger, K. R., & Wagner, A. Z. (2004). Off-Task Behavior in the Cognitive Tutor Classroom: When Students “Game the System.” Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 383–390. https://doi.org/10.1145/985692.985741

Adapting to When Students Game an Intelligent Tutoring System

Baker, R. S. J. d., Corbett, A. T., Koedinger, K. R., Evenson, S., Roll, I., Wagner, A. Z., Naim, M., Raspat, J., Baker, D. J., & Beck, J. E. (2006). Adapting to When Students Game an Intelligent Tutoring System. In M. Ikeda, K. D. Ashley, & T.-W. Chan (Eds.), Intelligent Tutoring Systems (pp. 392–401). Springer. https://doi.org/10.1007/11774303_39

Stupid Tutoring Systems, Intelligent Humans

Baker, R. S. (2016). Stupid Tutoring Systems, Intelligent Humans. International Journal of Artificial Intelligence in Education, 26(2), 600–614. https://doi.org/10.1007/s40593-016-0105-0

Course Signals at Purdue: Using Learning Analytics to Increase Student Success

Arnold, K. E., & Pistilli, M. D. (2012). Course Signals at Purdue: Using Learning Analytics to Increase Student Success. Proceedings of the 2nd International Conference on Learning Analytics and Knowledge, 267–270. https://doi.org/10.1145/2330601.2330666

What Matters for Staying On-Track and Graduating in Chicago Public High Schools: A Close Look at Course Grades, Failures, and Attendance in the Freshman Year

Allensworth, E. M., & Easton, J. Q. (2007). What Matters for Staying On-Track and Graduating in Chicago Public High Schools: A Close Look at Course Grades, Failures, and Attendance in the Freshman Year (p. 68). University of Chicago Consortium on Chicago School Research.

Automated, Unobtrusive, Action-by-Action Assessment of Self-Regulation During Learning with an Intelligent Tutoring System

Aleven, V., Roll, I., McLaren, B. M., & Koedinger, K. R. (2010). Automated, Unobtrusive, Action-by-Action Assessment of Self-Regulation During Learning with an Intelligent Tutoring System. Educational Psychologist, 45(4), 224–233. https://doi.org/10.1080/00461520.2010.517740

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