کتاب Data Mining and Learning Analytics  یک راهنمای جامع برای افرادی است که می خواهند مفاهیم مربوط به داده کاوی و تحلیل داده ها را بیاموزند.

سرفصل های این کتاب عبارتند از:

PART 1: AT THE INTERSECTION OF TWO FIELDS: EDM

• EDUCATIONAL PROCESS MINING: A TUTORIAL AND CASE STUDY USING MOODLE DATA SETS
• ON BIG DATA AND TEXT MINING IN THE HUMANITIES
• FINDING PREDICTORS IN HIGHER EDUCATION
• EDUCATIONAL DATA MINING: A MOOC EXPERIENCE
• DATA MINING AND ACTION RESEARCH

PART 2: PEDAGOGICAL APPLICATIONS OF EDM

• DESIGN OF AN ADAPTIVE LEARNING SYSTEM AND EDUCATIONAL DATA MINING
• THE “GEOMETRY” OF NAÏVE BAYES: TEACHING PROBABILITIES BY “DRAWING” THEM
• EXAMINING THE LEARNING NETWORKS OF A MOOC
• EXPLORING THE USEFULNESS OF ADAPTIVE ELEARNING LABORATORY ENVIRONMENTS IN TEACHING MEDICAL SCIENCE
• INVESTIGATING CO-OCCURRENCE PATTERNS OF LEARNERS’ GRAMMATICAL ERRORS ACROSS PROFICIENCY LEVELS AND ESSAY TOPICS BASED ON ASSOCIATION ANALYSIS

PART 3: EDM AND EDUCATIONAL RESEARCH

• MINING LEARNING SEQUENCES IN MOOCs: DOES COURSE DESIGN CONSTRAIN STUDENTS’ BEHAVIORS OR DO STUDENTS SHAPE THEIR OWN LEARNING?
• UNDERSTANDING COMMUNICATION PATTERNS IN MOOCs: COMBINING DATA MINING AND QUALITATIVE METHODS
• AN EXAMPLE OF DATA MINING: EXPLORING THE RELATIONSHIP BETWEEN APPLICANT ATTRIBUTES AND ACADEMIC MEASURES OF SUCCESS IN A PHARMACY PROGRAM
• A NEW WAY OF SEEING: USING A DATA MINING APPROACH TO UNDERSTAND CHILDREN’S VIEWS OF DIVERSITY AND “DIFFERENCE” IN PICTURE BOOKS
• DATA MINING WITH NATURAL LANGUAGE PROCESSING AND CORPUS LINGUISTICS: UNLOCKING ACCESS TO SCHOOL CHILDREN’S LANGUAGE IN DIVERSE CONTEXTS TO IMPROVE INSTRUCTIONAL AND ASSESSMENT PRACTICES

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