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Copeland, Alison; Tate, Simon – Journal of Geography in Higher Education, 2023
Debates about how best to support students' transition from school to university have re-emerged periodically since at least the 1970s. This paper focuses upon one aspect of this transition: how to develop the quantitative skills students acquire at school throughout the first year of their degree. We report on an attempt to inject pedagogic…
Descriptors: Pollution, Statistical Analysis, Mathematics Anxiety, Geography Instruction
Grochowalski, Joseph H.; Hendrickson, Amy – Journal of Educational Measurement, 2023
Test takers wishing to gain an unfair advantage often share answers with other test takers, either sharing all answers (a full key) or some (a partial key). Detecting key sharing during a tight testing window requires an efficient, easily interpretable, and rich form of analysis that is descriptive and inferential. We introduce a detection method…
Descriptors: Identification, Cooperative Learning, Cheating, Statistical Analysis
Cazarez, Rosa Leonor Ulloa – Education and Information Technologies, 2022
Educational institutions abruptly implemented online higher education to cope with sanitary distance restrictions in 2020, causing an increment in student failure. This negative impact attracts the analyses of online higher education as a critical issue for educational systems. The early identification of students at risk is a strategy to cope…
Descriptors: Accuracy, Grade Prediction, Academic Achievement, Electronic Learning
Cook, Steve; Watson, Duncan; Vougas, Dimitrios – Higher Education Pedagogies, 2019
Recent years have witnessed the emergence of a growing literature bemoaning the level of quantitative methods provision within the U.K. Higher Education sector, noting its negative impact upon the subsequent skills of graduates and their preparedness for the workplace. The present paper documents and evaluates an attempt to counter these issues…
Descriptors: Foreign Countries, Statistical Analysis, Mathematics Skills, College Instruction
Belland, Brian R.; Kim, Chanmin; Zhang, Anna Y.; Lee, Eunseo – ACM Transactions on Computing Education, 2023
This article reports the analysis of data from five different studies to identify predictors of preservice, early childhood teachers' views of (a) the nature of coding, (b) integration of coding into preschool classrooms, and (c) relation of coding to fields other than computer science (CS). Significant changes in views of coding were predicted by…
Descriptors: Predictor Variables, Preservice Teachers, Student Attitudes, Programming
John Jerrim; Alex Jones – School Effectiveness and School Improvement, 2024
School inspections are a common feature of many education systems. These may be informed by quantitative background data about schools. It is recognised that there are pros and cons of using such quantitative information as part of the inspection process, though these have rarely been succinctly set out. This paper seeks to fill this gap by…
Descriptors: Inspection, Foreign Countries, Statistical Analysis, Educational Quality
Norouzian, Reza – Studies in Second Language Acquisition, 2020
Researchers are traditionally advised to plan for their required sample size such that achieving a sufficient level of statistical power is ensured (Cohen, 1988). While this method helps distinguishing statistically significant effects from the nonsignificant ones, it does not help achieving the higher goal of accurately estimating the actual size…
Descriptors: Sample Size, Planning, Language Research, Second Language Learning
Dean, Matthew D. – INFORMS Transactions on Education, 2020
Undergraduate business students, like many other undergraduate majors, are often apprehensive about the quantitative courses required to earn their degree. Active learning methods, including flipped classrooms, have been studied as approaches to mitigate these fears among students. With our overarching goal of helping students improve their…
Descriptors: Undergraduate Students, Business Administration Education, Statistical Analysis, Active Learning
McQuillan, Jeff; Ediger, Warren – Reading Matrix: An International Online Journal, 2018
There is considerable evidence that incidental vocabulary acquisition through reading accounts for a large portion of the growth in word knowledge for both first (L1) and second (L2) language acquirers. In this paper, we evaluate the Markov Estimate of Semantic Association (MESA) technique for detecting small, incremental gains in vocabulary…
Descriptors: Markov Processes, Vocabulary Development, Incidental Learning, Native Language
Gass, Susan; Loewen, Shawn; Plonsky, Luke – Language Teaching, 2021
First, we trace the history of second language acquisition (SLA) from early stages in the mid-twentieth century to today. We next consider the status of the field in today's research world with a particular focus on all aspects of methodology and, finally, we take a look at the future and discuss issues related to scientific rigor in light of Open…
Descriptors: Second Language Learning, Language Research, Futures (of Society), Research Methodology
Rebecca Burtenshaw; Merrilyn Goos – Mathematics Education Research Group of Australasia, 2024
This position paper examines the phenomenon of the McNamara Fallacy to analyse flawed conceptions of "success" in mathematics learning, normalised assessment structures and their implications for mathematics education. The established presence of the McNamara Fallacy and the ramifications of this statistical fallacy provide a foundation…
Descriptors: Criticism, Misconceptions, Mathematics Education, Success
Gries, Stefan Th. – Language Learning, 2021
This methods showcase article provides a detailed overview of a mixed-effects modeling analysis of corpus data on the use of "that" in object and subject complementation by native speakers of English compared to its use by German and Spanish learners of English.
Descriptors: Computational Linguistics, Form Classes (Languages), Native Speakers, English
Mullins, Mary H. – Journal of Teaching in Social Work, 2017
Active learning approaches have shown to improve student learning outcomes and improve the experience of students in the classroom. This article compares a Process Oriented Guided Inquiry Learning style approach to a more traditional teaching method in an undergraduate research methods course. Moving from a more traditional learning environment to…
Descriptors: Undergraduate Students, Active Learning, Teaching Methods, Comparative Analysis
Robert, Jenay; Lewis, Scott E.; Oueini, Razanne; Mapugay, Andrea – Journal of Chemical Education, 2016
The research-based pedagogical strategy of flipped classes has been shown to be effective for increasing student achievement and retention in postsecondary chemistry classes. The purpose of flipped classes is to move content delivery (e.g., lecture) outside of the classroom, freeing more face-to-face time for active learning strategies. The…
Descriptors: Blended Learning, Science Education, Chemistry, College Freshmen
Rose, Carolyn Penstein – Journal of Learning Analytics, 2019
This contribution offers a commentary on Neil Selwyn's write up of his keynote talk from the Learning Analytics and Knowledge Conference in 2018 (Selwyn, this issue). The article has three main sections, namely an account of what Learning Analytics has done, an account of the values behind Learning Analytics, and some ideas for moving forward.…
Descriptors: Learning Analytics, Values, Futures (of Society), Educational Trends