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Gresse Von Wangenheim, Christiane; Da Cruz Alves, Nathalia; Rauber, Marcelo F.; Hauck, Jean C. R.; Yeter, Ibrahim H. – Informatics in Education, 2022
Although Machine Learning (ML) is used already in our daily lives, few are familiar with the technology. This poses new challenges for students to understand ML, its potential, and limitations as well as to empower them to become creators of intelligent solutions. To effectively guide the learning of ML, this article proposes a scoring rubric for…
Descriptors: Performance Based Assessment, Artificial Intelligence, Learning Processes, Scoring Rubrics
Marinho, Paulo; Leite, Carlinda; Fernandes, Preciosa – Research in Mathematics Education, 2017
This article describes mathematics teachers' evaluation practices and the reasoning and beliefs that support those practices. The data were collected in two Portuguese schools representing very different results in the national exams, through semi-structured interviews with mathematics teachers and departmental curriculum coordinators as well as…
Descriptors: Foreign Countries, Summative Evaluation, Mathematics Tests, Educational Practices
Badgett, John L.; Christmann, Edwin P. – Corwin, 2009
While today's curriculum is largely driven by standards, many teachers find the lack of specificity in the standards to be confounding and even intimidating. Now this practical book provides middle and high school teachers with explicit guidance on designing specific objectives and developing appropriate formative and summative assessments to…
Descriptors: Test Items, Student Evaluation, Knowledge Level, National Standards
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

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