Analysing behavioural sequences of online learners : lag sequential analysis using GSEQ / Shao-Chi Li, Ken-Zen Chen.

Format:

Book

Author/Creator:

Li, Shao-Chi, active 2022, author.

Chen, Ken-Zen, author.

Language:

English

Subjects (All):

Behavioral assessment--Databases.

Behavioral assessment.

Web-based instruction--Databases.

Web-based instruction.

Data sets.

Physical Description:

1 online resource : illustrations

Other Title:

Analysing behavioural sequences of online learners : lag sequential analysis using Generalised Sequential Querier

Place of Publication:

London : SAGE Publications, Ltd., 2022.

Language Note:

In English.

Summary:

This dataset is designed for teaching lag sequential analysis (LSA). By identifying time-serial data of sequential behaviours, researchers locate the dependency among users' activity sequences. This online learner behaviour dataset stores a college-level course activity that was fully online-taught on a Moodle (a learning management system). This example demonstrates the ideas and working steps in conducting LSA, and how educational researchers portray and compare the online learning patterns. This guide includes the datasets, the main idea behind LSA, how to use Generalised Sequential Querier (GSEQ) to conduct LSA, and how to report and visualise the result in the Student Guide and How-to Guide for GESQ.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

1-5296-0791-4

9781529607918

OCLC:

1328034019