Author Archives: Patrick Lowenthal

Call for papers–Collaborative Problem Solving Supported through Data Analytics

Collaborative Problem Solving Supported through Data Analytics

The Technology, Knowledge and Learning (TKNL) journal invites submissions for a special issue “Collaborative Problem Solving Supported through Data Analytics” organized in partnership with the UNESCO Chair of Data Science in Higher Education Learning and Teaching. Collaboration is understood as a continuous group activity addressing a mutually constructed problem or challenge and data analytics is understood as exploratory and confirmatory machine learning methods applied to dynamic data from learning and teaching activities. A group’s ability to collaboratively solve a problem is more than the sum of the individual member contributions, because unique synergies and added values emerge during the group’s social learning processes. However, if the problem or challenge does not hold the mutual interests of the parties, if the group cannot build a common understanding of the problem, or take appropriate action, then collaboration is impossible. Utilising data analytics for insights to improve education enables a new level of evidence-based research into learning and teaching. Hence, due to the fine-grained data captured during digital learning, it is possible to gain detailed insight into collaborative problem solving and learning trajectories of individuals and groups.

This special issue on “Collaborative Problem Solving Supported through Data Analytics” seeks contributions in the form of original research, work-in-progress, or integrative review articles (see http://www.springer.com/10758?detailsPage=societies for description of article types). Topics for this special issue may include, but are not limited to:

  • Identifying patterns of collaborative problem solving
  • Formative assessment of collaborative problem-solving performance
  • Group formation supported through data analytics
  • Design frameworks for implementing collaborative problem solving and data analytics
  • Case studies showing evidence of collaborative problem solving using data analytics

More information: http://di.ifenthaler.com/wp-content/uploads/2018/01/CfP_CPSA.pdf

Call for Papers — Special Issue On: Using Computer Simulations to Enhance and Transform Teaching and Learning

Special Issue On: Using Computer Simulations to Enhance and Transform Teaching and Learning

Submission Due Date: 6/30/2018

Topics to be discussed in this special issue include (but are not limited to) the following:

Categorizations of computer simulations;
Theoretical/pedagogical frameworks for using computer simulations;
Instructional design models for computer simulations;
Computer simulations for experiential learning;
Computer simulations for authentic assessment;
Learner experience of computer simulations;
Computer simulations in STEM education;
Computer simulations in healthcare and medical disciplines;
Computer simulations in social sciences and humanities disciplines;
Computer simulations in professional development and training;
Opportunities, challenges, and future directions of computer simulations.

For more information, visit https://www.igi-global.com/calls-for-papers-special/international-journal-virtual-personal-learning/1134

All inquiries should be directed to the attention of:
Dr. Jennifer Qian
Guest Editor
International Journal of Virtual and Personal Learning Environments (IJVPLE)
E-mail: je.qian@northeastern.edu

From my inbox, AERA Most Read Education Research Articles of 2017


1. Understanding Loan Aversion in Education: Evidence From High School Seniors, Community College Students, and Adults

This study provides the first large-scale quantitative evidence of levels of student loan aversion in the United States. Between 20 percent and 40 percent of high school seniors are loan-averse. Women are less likely to be loan-averse than men, and Hispanics are more likely to be loan-averse than whites.

AERA Open, January 2017

Angela Boatman, Brent J. Evans, Adela Soliz

2. Educating for Democracy in a Partisan Age: Confronting the Challenges of Motivated Reasoning and Misinformation

This study investigates youth judgments of the accuracy of truth claims tied to controversial public issues and the influence of political knowledge and exposure to media literacy education. It finds that political knowledge does not improve judgments of accuracy but that media literacy education does.


American Educational Research Journal
, February 2017

Joseph Kahne, Benjamin Bowyer

3. Student Enrollment Patterns and Achievement in Ohio’s Online Charter Schools

Researchers find that low-income, lower achieving white students in Ohio are more likely to choose online charter schools, while low-income, lower achieving minority students are more likely to opt into the traditional charter school sector. They also find that students in e-schools perform worse on standardized assessments than their peers in traditional charter and traditional public schools.

Educational Researcher, January 2017

June Ahn, Andrew McEachin

4. Kids Today: The Rise in Children’s Academic Skills at Kindergarten Entry

This study documents how students entering kindergarten in 2010 compare to those who entered in 1998 in terms of their teacher-reported math, literacy, and behavioral skills. While children—particularly black children—in 2010 entered kindergarten with stronger math and literacy skills, results for behavioral outcomes were mixed.


Educational Researcher
, January 2017

Daphna Bassok, Scott Latham

5. Is Common Core “Working”? And Where Does Common Core Research Go From Here?
Five years into the Common Core initiative, researchers and the general public are interested in whether and how the standards are “working.” This special topic introduction examines the state of the literature on these questions and offers suggestions for important work moving forward.

AERA Open, January 2017

Morgan S. Polikoff

6. The Gap Within the Gap: Using Longitudinal Data to Understand Income Differences in Educational Outcomes
Researchers leverage the longitudinal structure of state and district administrative data sets in Michigan to develop a new measure of economic disadvantage based on student eligibility for subsidized school meals, which can be used to estimate effects in program evaluations, improve value-added calculations, and better target resources.


AERA Open
, February 2017

Katherine Michelmore, Susan Dynarski

7. Academic Interventions for Elementary and Middle School Students With Low Socioeconomic Status: A Systematic Review and Meta-Analysis
This review of academic interventions for elementary and middle school students with low socioeconomic status finds that tutoring, feedback and progress monitoring, and cooperative learning have effect sizes that are educationally important, statistically significant, and robust.

Review of Educational Research, January 2017

Jens Dietrichson, Martin Bøg, Trine Filges, Anne-Marie Klint Jørgensen

8. Impacts of Early Childhood Education on Medium- and Long-Term Educational Outcomes
This research review finds that children who participate in high-quality early childhood education programs before entering kindergarten later experience fewer special education placements, decreased grade retention, and improved high school graduation rates compared with peers who do not participate.


Educational Researcher
, November 2017

Dana Charles McCoy, Hirokazu Yoshikawa, Kathleen M. Ziol-Guest, Greg J. Duncan, Holly S. Schindler, Katherine Magnuson, Rui Yang, Andrew Koepp, Jack P. Shonkoff

9. Team-Based Professional Development Interventions in Higher Education: A Systematic Review
This review study provides an overview of the effects of team-based professional development on higher education teacher attitudes and teacher learning. Researchers identify several factors that can either hinder or support professional development at the individual teacher, team, and organizational levels.


Review of Educational Researc
h, April 2017

Inken Gast, Kim Schildkamp, Jan T. van der Veen

10. Rethinking the Use of Tests: A Meta-Analysis of Practice Testing
This meta-analysis examines the effects of practice tests versus nontesting learning conditions such as restudying, practice, filler activities, or no presentation of the material. Results reveal that practice tests are more beneficial for learning than are restudying and all the other comparison conditions that were included in the meta-analysis.


Review of Educational Research
, February 2017

Olusola O. Adesope, Dominic A. Trevisan, Narayankripa Sundararajan