Statements A, B, C and E highlight important possibilities and responsibilities in online learning research. A is true because web-based surveys are especially suitable for geographically dispersed samples, and B correctly states that digital systems can be programmed to randomly assign participants to conditions. Statement C is accurate in noting that LMS log data provide rich sources for learning analytics, while E is true because digital traces can reveal identities and therefore require anonymisation. D is false because ethical issues are at least as important online as offline, and F is false since online studies can easily incorporate qualitative interviews via video or chat tools.
Option A:
Option A omits statement E, failing to mention the crucial need to anonymise digital trace data for ethical reasons. While A, B and C are correct, leaving out E means that important ethical considerations are not fully represented. This makes the option incomplete.
Option B:
Option B is correct because it groups A, B, C and E, all of which describe valid design and ethical issues in online research. It also excludes D and F, which downplay ethics and wrongly rule out qualitative methods. Thus, this combination presents all and only the true statements.
Option C:
Option C includes statement F, which incorrectly asserts that qualitative methods cannot be used in online environments. This ignores widely used practices like online interviews and focus groups. As a result, even though B and E are true, the presence of F renders the combination invalid.
Option D:
Option D omits statement B and includes F, thereby losing the idea of digital random assignment and adding a false claim about qualitative methods. This mixture of omission and error makes the option unsuitable as the correct answer.
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