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Evaluation of Student’s Notes in a Blended Learning Course
Student’s notes are evaluated to trace their learning process in a blended learning course, and the factors affecting the quality of these notes are...
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Student’s Reflections on Their Learning and Note-Taking Activities in a Blended Learning Course
Student’s emotional aspects are often discussed in order to promote better learning activity in blended learning courses. To observe these factors,...
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How Note-Taking Instruction Changes Student’s Reflections Upon Their Learning Activity During a Blended Learning Course
The metrics of self-efficacy and self-assessment were surveyed and analysed in order to examine the effectiveness of note-taking instruction on...
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Measuring the Immeasurable: Statistics, Intelligence, and Education
EducationalTopicsintelligence and education concepts such as mathematical proficiency have their statistical equivalent in so-called latent...
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Impact of Learner’s Characteristics and Learning Behaviour on Learning Performance During a Fully Online Course
A fully online learning environment requires effective learning management in order to promote pro-active education. Since student’s notes are a...
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The Possibility of Predicting Learning Performance Using Features of Note-Taking Activities and Instructions in a Blended Learning Environment
A formative assessment was introduced to a blended learning course in order to predict participant’s learning performance using measurements of their...
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Exploring Temporal Functional Dependencies Between Latent Skills in Cognitive Diagnostic Models
Cognitive Diagnostic Models (CDMs) provide diagnostic information about a subject’s skill profile by specifying relationships between the student’s...
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Personalized and Adaptive Learning
Personalized and adaptive learning has been touted to be one of the most promising emerging tools for increasing student learning and student...
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Random Forests
Bagging refers to fitting a learning algorithm on bootstrap samples and aggregating the results. A random forest performs bagging of trees, and in...
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Identifying Zones of Targeted Feedback with a Hyperbolic Cosine Model
Formative assessments are used to identify student strengths and weaknesses, but they frequently do not identify targeted feedback strategies for...
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N-of-1 Randomized Trials
Single-subject trials have a rich history in the behavioral sciences, but a much more limited history in clinical medicine. This chapter deals with a...
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Determinants of the Real Estate Prices in Poland
Using the quarterly data for the 2010–2020 period, both long- and short-term factors behind the real estate prices for existing flats in Poland are...
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Impact of Emergency Online Classes on Students’ Motivation and Engagement in University During the Covid-19 Pandemic: A Study Case
The Covid-19 pandemic has had dramatic impact on many dimensions of living and studying conditions of students at University. This paper analyses...
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Note-Taking Evaluation Using Network Illustrations Based on Term Co-occurrence in a Blended Learning Environment
Note contents taken by students during a blended learning course were evaluated to improve the quality of university instruction. To conduct a...
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Teaching Note—Data Science Training for Finance and Risk Analysis: A Pedagogical Approach with Integrating Online Platforms
The main discussion of this paper is a method of data science training, which allows responding to the complex challenges of finance and risk...
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Conclusion
Despite all criticisms, Null Hypothesis Significance Testing [NHST] has continued to be required in most experimental publications as an unavoidable...
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Features of Contextual Learning and Business Games in Teaching “Intercultural Communication”
The main focus of the research is concentrated on the analysis of the teaching practices of the discipline “Intercultural Communication” and the...
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Multimodal Learning
The widespread use of technology in the digital age continually shapes how individuals consume knowledge and learn. In the digital age, ideas are...
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Feature Engineering
Feature engineering refers to deriving additional variables from existing variables or from the structure of the data. Examples of derived variables...
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N-of-1 Randomized Trials
Single-subject trials have a rich history in the behavioral sciences, but a much more limited history in clinical medicine. This chapter deals with a...