Katherine Silz Carson , Jimena Gonzalez-Ramirez , Craig Heinicke , Mark Maier , Phil Ruder , Scott P. Simkins , Hiuko Adams , James “Michael” Latham , C. Lucy Malakar
{"title":"Results of a randomized evaluation of team-based learning exercises","authors":"Katherine Silz Carson , Jimena Gonzalez-Ramirez , Craig Heinicke , Mark Maier , Phil Ruder , Scott P. Simkins , Hiuko Adams , James “Michael” Latham , C. Lucy Malakar","doi":"10.1016/j.iree.2025.100316","DOIUrl":"10.1016/j.iree.2025.100316","url":null,"abstract":"<div><div>This paper describes the results of a multi-site randomized-controlled evaluation of the effect on student learning of Team-Based Learning (TBL) application exercises vs. traditional exercises in Principles of Microeconomics courses using the TBL pedagogy. The use of random assignment of a site to treatment or control group for each of four study modules combined with student fixed effects enables identification of the treatment effect on student learning while controlling for student characteristics. The results show moderate positive treatment effects of the TBL application exercises.</div></div>","PeriodicalId":45496,"journal":{"name":"International Review of Economics Education","volume":"49 ","pages":"Article 100316"},"PeriodicalIF":1.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143842641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Do humans identify AI-generated text better than machines? Evidence based on excerpts from German theses☆","authors":"Alexandra Fiedler , Jörg Döpke","doi":"10.1016/j.iree.2025.100321","DOIUrl":"10.1016/j.iree.2025.100321","url":null,"abstract":"<div><div>We investigate whether human experts can identify AI-generated academic texts more accurately than current machine-based detectors. Conducted as a survey experiment at a German university of applied sciences, 63 lecturers in engineering, economics, and social sciences were asked to evaluate short excerpts (200–300 words) from both human-generated and AI-generated texts. These texts varied by discipline and writing level (student vs. professional) with the AI-generated content. The results show that both human evaluators and AI detectors correctly identified AI-generated texts only slightly better than chance, with humans achieving a recognition rate of 57 % for AI texts and 64 % for human-generated texts. There was no statistically significant difference between human and machine performance. Notably, professional-level AI texts were the most difficult to identify, with less than 20 % of respondents correctly classifying them. Regression analyses suggest that prior teaching experience slightly improves recognition accuracy, while subjective judgments of text quality were not influenced by actual or presumed authorship. These findings suggest that current written examination practices are increasingly vulnerable to undetected AI use. Both human judgment and existing AI detectors show high error rates, especially for high-quality AI-generated content. We conclude that a reconsideration of traditional assessment formats in academia is warranted.</div></div>","PeriodicalId":45496,"journal":{"name":"International Review of Economics Education","volume":"49 ","pages":"Article 100321"},"PeriodicalIF":1.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144177638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A purpose-driven approach to apply the universal design for learning: A focus on the “why”","authors":"Terry Eyland , Ambrose Leung","doi":"10.1016/j.iree.2025.100319","DOIUrl":"10.1016/j.iree.2025.100319","url":null,"abstract":"<div><div>We aim to develop a teaching methodology that can strike the best balance between clear terminal goals and deep understanding informed by the Universal Design for Learning (UDL) pedagogy. UDL is a pedagogical framework that promotes academic curriculum design to develop students into expert learners who are purposeful and motivated, resourceful and knowledgeable, strategic and goal-directed. The pedagogical method discussed in this paper entails the application of backward design with a strong focus on the “why” of learning to maintain curiosity and interest of students throughout the semester. A key element of our strategy involves assigning students with tasks that are based on relevant examples of broad interest to a diverse student population. This approach can effectively motivate the learning of theoretical concepts before further advancing the curriculum in class. The goal is to provide students with guidance to achieve higher levels of learning in a progressive way through scaffolding so that at all steps students see the purpose, have the resources to get going, but also have a little research to do to complete the task.</div></div>","PeriodicalId":45496,"journal":{"name":"International Review of Economics Education","volume":"49 ","pages":"Article 100319"},"PeriodicalIF":1.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143946521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Online academic exams: Does multiplicity of exam versions mitigate cheating?","authors":"Flip Klijn , Mehdi Mdaghri Alaoui , Marc Vorsatz","doi":"10.1016/j.iree.2024.100305","DOIUrl":"10.1016/j.iree.2024.100305","url":null,"abstract":"<div><div>We study academic integrity in a final exam of a game theory course with 463 undergraduate students at a major Spanish university. The exam is an unproctored online multiple-choice exam without backtracking. A key characteristic is that for each (type of) problem, groups of students receive different versions. Moreover, each problem version is assigned to one subgroup during one stage of the exam and to another subgroup during an immediately consecutive later stage. Thus, we can exploit grade points and timestamps to study students’ academic integrity. We observe a significant decrease in completion time at each later stage; however, surprisingly, there is no corresponding impact on average grade points. The precise number of different versions does not seem to have an effect on either variable. Our findings thus suggest that employing a limited number of distinct problem versions (as few as two) can diminish cheating effectiveness in online exams.</div></div>","PeriodicalId":45496,"journal":{"name":"International Review of Economics Education","volume":"48 ","pages":"Article 100305"},"PeriodicalIF":1.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
María Jesús Valdemoros-Erro , José Luis Álvarez-Arce , Elena Sanjurjo-San-Martín
{"title":"The belief that monetary exchanges are mutually beneficial: Are economics students different? Evidence from Guatemala","authors":"María Jesús Valdemoros-Erro , José Luis Álvarez-Arce , Elena Sanjurjo-San-Martín","doi":"10.1016/j.iree.2025.100309","DOIUrl":"10.1016/j.iree.2025.100309","url":null,"abstract":"<div><div>Research indicates that economics students are more supportive of the market allocation mechanism than their peers from other disciplines. This study investigates if these differences apply equally to their views on the mutual gains of voluntary and monetary transactions. Using survey data from university students in various majors in Guatemala, we found no significant differences across disciplines in the belief that voluntary exchanges are mutually beneficial. However, economics students showed significantly stronger agreement with the idea that monetary exchanges benefit all involved parties. This group also demonstrated a more consistent stance on voluntary and monetary exchanges, a pattern observable even among first-year students, indicating the presence of a self-selection effect. Our findings add novel insights to the discussion on the distinctive perspectives of economics students, while providing evidence from a developing country, a context barely studied before.</div></div>","PeriodicalId":45496,"journal":{"name":"International Review of Economics Education","volume":"48 ","pages":"Article 100309"},"PeriodicalIF":1.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143165983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A mixed methods evaluation of online discussion tools in higher education","authors":"Alex Squires, Dan Rigby","doi":"10.1016/j.iree.2024.100298","DOIUrl":"10.1016/j.iree.2024.100298","url":null,"abstract":"<div><p>We present a mixed methods comparative assessment of three online discussion tools widely used in higher education. We combine different data types (quantitative, qualitative) and sources (usage data, survey responses) to assess Piazza, Padlet, and Blackboard discussion boards. We highlight and discuss the differences between, and relative merits of, the tools and report the preferences of students on a large introductory Economics unit for them. We summarise lessons learnt from using the tools and make recommendations to engender greater student engagement with online discussion spaces.</p></div>","PeriodicalId":45496,"journal":{"name":"International Review of Economics Education","volume":"47 ","pages":"Article 100298"},"PeriodicalIF":1.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1477388024000161/pdfft?md5=fa53615608b6dabbe802c17203cb738d&pid=1-s2.0-S1477388024000161-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141630084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Simon D. Halliday , Christopher Makler , Douglas McKee , Anastasia Papadopoulou
{"title":"Improving student comprehension through interactive model visualization","authors":"Simon D. Halliday , Christopher Makler , Douglas McKee , Anastasia Papadopoulou","doi":"10.1016/j.iree.2024.100296","DOIUrl":"https://doi.org/10.1016/j.iree.2024.100296","url":null,"abstract":"<div><p>A large literature has shown that novices and experts across the STEM disciplines differ markedly in how they approach and solve problems. Many STEM education scholars find that giving students scaffolded exercises in which they work with a visualization tool can be highly effective in teaching novices to think more like experts. Using model visualization software developed for EconGraphs, we have created three custom collections of interactive exercises for use in microeconomics courses at three institutions, two in the US and one in the UK. Based on surveys of the students (n=71, 167, and 57 respectively at the three institutions), students found the new exercises helpful. Additional analysis at two of the institutions suggests that the exercises were more likely to be valued by students with weaker math skills, students with weaker introductory microeconomics skills, and, in some cases, students who agreed that economics was interesting and applicable to their daily lives. The contributions of this paper are to illustrate how the free content from EconGraphs and the associated authoring tools may be used to create exercises that enhance the teaching and learning experience at a range of institutions; to provide the exercises themselves as a public good; and to invite further innovation and investigation in this area.</p></div>","PeriodicalId":45496,"journal":{"name":"International Review of Economics Education","volume":"47 ","pages":"Article 100296"},"PeriodicalIF":1.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1477388024000148/pdfft?md5=0abd9668b41142b011e2d1a00251e8ee&pid=1-s2.0-S1477388024000148-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141582039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Investigating the link between students’ learning intentions and their learning outcomes: A clustered randomised controlled trial","authors":"Erkal Ersoy, Rachel Forshaw, Suzanne Lampert","doi":"10.1016/j.iree.2024.100299","DOIUrl":"10.1016/j.iree.2024.100299","url":null,"abstract":"<div><p>We investigate the impact of repeated contextual nudging on task com- pletion and performance within the setting of traditional face-to-face education, adding to a literature which has focused on non-contextual nudges, provided contextual nudges in online learning settings, or used one-time nudges. We undertake a clustered randomised controlled trial on first-year Business School students at Heriot-Watt University, employing weekly nudges during tutorials to encourage students to establish learning intentions for the upcoming week. We rule out significant treatment effects from the nudging intervention on tutorial attendance, the most important predictor of final marks of all intermediate outcomes that we consider. We are unable to make causal statements on the effects of the intervention on final marks. Nonetheless, this experiment yields valuable insights into the dynamics of repeated contextual nudging within traditional educational settings as well as shedding light on aspects of student behaviour.</p></div>","PeriodicalId":45496,"journal":{"name":"International Review of Economics Education","volume":"47 ","pages":"Article 100299"},"PeriodicalIF":1.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141688763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Improving student outcomes using automated feedback in a first-year economics class","authors":"Sinead Huskisson , Tom O'Mahony , Seán Lacey","doi":"10.1016/j.iree.2024.100303","DOIUrl":"10.1016/j.iree.2024.100303","url":null,"abstract":"<div><div>The assessment literature advocates utilising formative assessment strategies to support and enhance student learning. This study uses online practice tests with inbuilt feedback, that students could repeatedly use, as a formative feedback strategy in a first-year introductory microeconomics module. The key question explored is whether repeated engagement with online practice tests had a statistically significant impact on students’ subsequent performance on a summative assessment. Quantitative engagement and performance data (N = 223) were collected from a cohort of first-year students. An analysis of this data reveals that engaging with the online practice test multiple times has a statistically significant impact on final performance. Controlling for the mid-term grade, on average, each cycle of ‘seeking and acting’ increases grades in the final exam by 1.3 % (p = 0.003). Hence, the data suggests that incorporating multiple opportunities to take an online practice test, which includes feedback, is an important feature of the strategy. A smaller sample of qualitative survey data (N = 131) reveals that these economics students hold traditional views of feedback with little awareness of their own role in seeking and acting on feedback. We argue that formative practice tests have the potential to support the development of student feedback literacy.</div></div>","PeriodicalId":45496,"journal":{"name":"International Review of Economics Education","volume":"47 ","pages":"Article 100303"},"PeriodicalIF":1.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142416355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A picture is worth a thousand words: The effectiveness of infographics in microeconomic principles courses","authors":"Lauren Calimeris , Edward Kosack","doi":"10.1016/j.iree.2024.100300","DOIUrl":"https://doi.org/10.1016/j.iree.2024.100300","url":null,"abstract":"<div><p>We investigate the impact of infographics on student learning in principles of economics classes. Infographics display facts, data, and information about a specific topic in a clear and easy to understand manner, using graphics and pictures to help summarize, explain, and display information. Creating an infographic can be a fun, engaging, and powerful educational tool for learning new topics in both introductory and advanced courses. We use a randomized classroom experiment to evaluate the effect of creating infographics on student learning in principles of microeconomics courses as measured by exam performance. The randomization across topics enables a student-fixed effects estimation of the effect of infographics. We find students were 2.1–2.2 percentage points more likely to answer a multiple-choice question correctly relating to the topics for which they completed an infographic relative to those they did not. We provide suggestive evidence that infographics may help higher ability students most, increasing their scores on both multiple choice and short answer questions.</p></div>","PeriodicalId":45496,"journal":{"name":"International Review of Economics Education","volume":"47 ","pages":"Article 100300"},"PeriodicalIF":1.3,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141605521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}