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Direct linkMalte Ring; Taiga Brahm – Technology, Knowledge and Learning, 2024
More and more teachers create video explanations for their instruction. Whether or not they are effective for learning depends on the videos' instructional quality. Reliable measures to assess the quality of video explanations, however, are still rare, especially for videos created by (preservice) teachers. We developed such a measure in a…
Descriptors: Video Technology, Teaching Methods, Educational Quality, Measurement Techniques
Jennifer A. Gonzales – Mathematics Teacher: Learning and Teaching PK-12, 2024
This article examines a school district's effort to create a unified culture of mathematical excellence through which everyone would know what high-quality instruction should look like and how they would shift their practices to those that aligned with their vision. This is accomplished through their Mathematics Teaching Practices Inventory…
Descriptors: Mathematics Teachers, Mathematics Instruction, Teaching Methods, Faculty Development
Moore, Kendall Ryan – ProQuest LLC, 2016
The purpose of this study was to develop a jazz improvisation rubric for the evaluation of collegiate jazz improvisation. To create this measure, research objectives were devised to investigate the aurally-observed performer-controlled components of improvisation, which aurally-observed components should be evaluated in an improvisatory…
Descriptors: Music Education, Creativity, Creative Activities, Measurement Techniques
Farnia, Forouzan; Nafukho, Fredrick Muyia – European Journal of Training and Development, 2016
Purpose: The purpose of this study is to review and synthesize pertinent emotional intelligence (EI) research within the human resource development (HRD) scholarship. Design/methodology/approach: An integrative review of literature was conducted and multiple electronic databases were searched to find the relevant resources. Using the content…
Descriptors: Emotional Intelligence, Content Analysis, Databases, Scientific Research
Download full textSiekmann, Gitta; Korbel, Patrick – National Centre for Vocational Education Research (NCVER), 2016
Current definitions of STEM skills are inconsistent and not specific enough to inform education and skill policies and initiatives, potentially leading to a number of unsubstantiated and uncoordinated responses. There is a danger of generating a domestic oversupply of graduates in science, mathematics, engineering and technology while ignoring the…
Descriptors: STEM Education, Technical Education, Vocational Education, Job Skills
Torres, Cristina; Lopes, Ana Paula; Babo, Lurdes; Azevedo, Jose – Online Submission, 2011
A MC (multiple-choice) question can be defined as a question in which students are asked to select one alternative from a given set of alternatives in response to a question stem. The objective of this paper is to analyse if MC questions may be considered as an interesting alternative for assessing knowledge, particularly in the mathematics area,…
Descriptors: Multiple Choice Tests, Alternative Assessment, Evaluation Methods, Questioning Techniques
Tondeur, Jo; van Braak, J.; Valcke, M. – Journal of Computer Assisted Learning, 2007
In the present study, we reject the view that computer use can be studied as an isolated variable in a learning environment. Our main objective is to develop an instrumental tool to measure different types of educational computer use in the classroom. This builds on a comprehensive review of the literature about computer use in education. This…
Descriptors: Foreign Countries, Elementary School Teachers, Questionnaires, Computer Uses in Education
GRIB, THOMAS F. – 1966
THIS PAPER EXAMINES SOME OF THE MEASUREMENT AND EVALUATION PROBLEMS ENCOUNTERED IN RESEARCH ON STUDENT-LED SMALL GROUP DISCUSSION TEACHING PROCEDURES. IT FOCUSES UPON PROBLEMS OF CRITERION EXAMINATION, USE OF RATING FORMS TO ASSESS THE EFFECTIVENESS OF VARIOUS METHODS OF INSTRUCTION, AND METHODS FOR CHARACTERIZING CLASSROOM PROCEDURE. THIS PAPER…
Descriptors: Academic Achievement, Classification, Cognitive Processes, College Students
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
Peer reviewedAdkisson, Rose Marie – Integrated Education, 1980
Describes a pilot study conducted in Champaign, Illinois, to deal with the misclassification of minority students labelled educable mentally handicapped (EMH). Discusses reevaluation and the declassification process, including placement in regular classes, teacher training, and the development and implementation of transition programs. (MJL)
Descriptors: Achievement Gains, Classification, Elementary Education, Mainstreaming
Tobin, Kenneth G.; Capie, William – 1981
This paper advocates categorization of engagement on the basis of a logical relationship with the outcomes of a study and the use of student attributes that are logically related to engagement and/or achievement as covariables. Results from a study involving nine engagement categories, measures of formal reasoning ability, locus of control and…
Descriptors: Academic Achievement, Classification, Classroom Research, Data Collection
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
