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Normandeau, Magdalen; Kolomitro, Klodiana; Maher, Patrick T. – Canadian Journal for the Scholarship of Teaching and Learning, 2020
The path to publication is often long, emotional, and bewildering. We share key insights from our experience as authors, educators, and members of the editorial board with The Canadian Journal for the Scholarship of Teaching and Learning that we hope will help authors better understand and navigate the path to publication. In writing a compelling…
Descriptors: Writing for Publication, Scholarship, Instruction, Learning
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Muslim, Arham; Chatti, Mohamed Amine; Bashir, Muhammad Bassim; Barrios Varela, Oscar Eduardo; Schroeder, Ulrik – Journal of Learning Analytics, 2018
Open Learning Analytics (OLA) is an emerging concept in the field of Learning Analytics (LA). It deals with learning data collected from multiple environments and contexts, analyzed with a wide range of analytics methods to address the requirements of different stakeholders. Due to this diversity in different dimensions of OLA, the LA developers…
Descriptors: Data Analysis, Learning, Models, Design
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Kelly, Anthony E. – Journal of Learning Analytics, 2017
In this short thought-piece, I attempt to capture the type of freewheeling discussions I had with our late colleague, Mika Seppälä, a research mathematician from Helsinki. Mika, not being a psychometrician or learning scientist, was blissfully free from the design constraints that experts sometimes ingest, unwittingly. I also draw on delightful…
Descriptors: Data, Learning, Data Analysis, Numbers
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Chen, Bodong; Knight, Simon; Wise, Alyssa Friend – Journal of Learning Analytics, 2018
The importance of temporality in learning has been long established, but it is only recently that serious attention has begun to be paid to the precise identification, measurement, and analysis of the temporal features of learning. From 2009 to 2016, a series of temporality workshops explored temporal concepts and data types, analysis methods for…
Descriptors: Time Factors (Learning), Data Analysis, Learning, Experience
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Pardo, Abelardo; Bartimote-Aufflick, Kathryn; Shum, Simon Buckingham; Dawson, Shane; Gao, Jing; Gaševic, Dragan; Leichtweis, Steve; Liu, Danny; Martínez-Maldonado, Roberto; Mirriahi, Negin; Moskal, Adon Christian Michael; Schulte, Jurgen; Siemens, George; Vigentini, Lorenzo – Journal of Learning Analytics, 2018
The learning analytics community has matured significantly over the past few years as a middle space where technology and pedagogy combine to support learning experiences. To continue to grow and connect these perspectives, research needs to move beyond the level of basic support actions. This means exploring the use of data to prove richer forms…
Descriptors: Individualized Instruction, Data Analysis, Learning, Feedback (Response)
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Svensson, Lennart – Scandinavian Journal of Educational Research, 2016
The aim of this article is to present arguments for an integrated empirical research on teaching and learning based on previous research and the phenomenographic research tradition. From 1970 and for some years after, the main focus in phenomenographic research was on students' approaches to and understanding of subject matter. Later, based on…
Descriptors: Phenomenology, Research Methodology, Teaching Methods, Learning Strategies
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Pardo, Abelardo; Siemens, George – British Journal of Educational Technology, 2014
The massive adoption of technology in learning processes comes with an equally large capacity to track learners. Learning analytics aims at using the collected information to understand and improve the quality of a learning experience. The privacy and ethical issues that emerge in this context are tightly interconnected with other aspects such as…
Descriptors: Ethics, Privacy, Learning, Data Analysis
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Bonney, Kevin M. – International Journal for the Scholarship of Teaching and Learning, 2018
This essay reflects upon lessons learned from engaging students as partners in the scholarship of teaching and learning (SoTL). The pedagogical research question addressed by this project was: Does the case study teaching method promote student engagement and learning in an introductory biology course? Student partners were actively involved in…
Descriptors: Student Participation, Scholarship, Instruction, Learning
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Okada, Masaya; Tada, Masahiro – Journal of Educational Multimedia and Hypermedia, 2014
Real-world learning is important because it encourages learners to obtain knowledge through various experiences. To design effective real-world learning, it is necessary to analyze the diverse learning activities that occur in real-world learning and to develop effective strategies for learning support. By inventing the technologies of multimodal…
Descriptors: Experiential Learning, Learning Activities, Technology Uses in Education, Behavior
Sparks, Sarah D. – Education Week, 2011
The new and rapidly growing field of educational data mining is using the chaff from data collected through normal school activities to explore learning in more detail than ever, and researchers say the day when educators can make use of Amazon.com-like feedback on student learning behaviors may be closer than most people think. Educational data…
Descriptors: Data Analysis, Educational Indicators, Databases, Technology Uses in Education
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Wong, Khoon Yoong; Oh, Kwang-Shin; Ng, Qiu Ting Yvonne; Cheong, Jim Siew Kuan – Teaching Mathematics and Its Applications: An International Journal of the IMA, 2012
The purposes of an online system to auto-mark students' responses to mathematics test items are to expedite the marking process, to enhance consistency in marking and to alleviate teacher assessment workload. We propose that a semi-automatic marking and customizable feedback system better serves pedagogical objectives than a fully automatic one.…
Descriptors: Feedback (Response), Test Items, Mathematics Tests, Online Systems
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Harrison, Chris; Howard, Sally – Primary Science, 2011
"Summative assessment" is a means of summing up where a learner, class, school or country has got to in their learning at a particular point in time. Data from this can be used to recognise attainment and gauge progress. It is therefore useful for reporting purposes. This is distinct from assessment for learning (or "formative assessment"), an…
Descriptors: Formative Evaluation, Student Evaluation, Primary Education, Evaluation Methods
Catley, Alan – Mathematics Teaching Incorporating Micromath, 2006
In this article, the author shows some simple examples of ways in which "Autograph" can enhance learning in the KS3 curriculum. He began using version 2 with A-level students to help them visualise concepts in pure mathematics. He has "Autograph" projected to the front board to keep learners focused on mathematical activity…
Descriptors: Investigations, Mathematics Instruction, Graphs, Geometry
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Wandzilak, Thomas; Mortensen, Lynn L. – College Teaching, 1988
A model that integrates the systematic observation of student and teacher behaviors with an analysis of student achievement is presented. It assesses student learning and time use for a particular lesson and provides the instructor with immediate feedback that documents teaching effectiveness. (MLW)
Descriptors: College Instruction, College Students, Data Analysis, Faculty Evaluation
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Graham, Alan T.; Thomas, Michael O. J. – International Journal for Technology in Mathematics Education, 2005
Statistical data can be represented in a number of qualitatively different ways, the choice depending on the following three conditions: the concepts to be investigated; the nature of the data; and the purpose for which they were collected. This paper begins by setting out frameworks that describe the nature of statistical thinking in schools, and…
Descriptors: Investigations, Statistical Data, Statistics, Mathematics Education
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