Name
Abstract | ||
|---|---|---|
This paper presents a meta-programming-based approach to solve learning objects (LOs) sequencing task. The task is dealt with by introducing a framework, formal analysis of the problem. The approach includes: (i) task formalization, (ii) description of the method and algorithm, (iii) implementation and case study for computer science education. The approach enables the automatic generation and flexible adaptation on demand and has been approved in the real teaching setting. Some characteristics and future work are indicated. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-24770-0_14 | Communications in Computer and Information Science |
Keywords | Field | DocType |
Learning object,Generative learning object,Learning objects sequencing,Metadata,Meta-programming | Metaprogramming,Metadata,Programming language,On demand,Computer science,Learning object | Conference |
Volume | ISSN | Citations |
538 | 1865-0929 | 0 |
PageRank | References | Authors |
0.34 | 8 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vytautas Stuikys | 1 | 102 | 17.07 |
| Renata Burbaite | 2 | 12 | 3.98 |
| Kristina Bespalova | 3 | 4 | 2.43 |