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Date May 2019 Marks available 9 Reference code 19M.Paper 3.HL.TZ0.3
Level HL only Paper Paper 3 Time zone TZ0
Command term Discuss Question number 3 Adapted from N/A

Question

The stimulus material below is based on a study on the influence of multitasking on student learning.

Multitasking (doing more than one task at a time) and its consequences on learning has become a growing concern in education because students are increasingly engaged with their laptops or smartphones. In classrooms, students tend to switch between academic and non-academic tasks. Research indicates that this multitasking results in cognitive overload and weaker encoding of primary information into long-term memory.

The aim of the study was to investigate if multitasking on a laptop would impair learning as measured by the number of correct scores on a comprehension test. The participants were forty undergraduate students from a university in North America (N=40). There were even numbers of males and females and the mean age was 18.9 years. A convenience sample of students enrolled in an introductory psychology course received course credit for participating. They were recruited from a psychology research website. It was only explained that the study involved listening to a class lecture and filling out a multiple‑choice quiz.

All participants attended a 45-minute lecture on meteorology in a traditional college classroom. Their primary task was to take notes using their laptops. The 20 participants in the multitasking condition were also asked to complete 12 online tasks during the lecture. The participants were randomly allocated a seat number as they entered the classroom. The researchers told participants that their individual instruction sheet and consent form were placed on their seat. After the lecture, all participants completed a 40-question multiple-choice quiz on the lecture content in order to check their comprehension. Finally, they were debriefed.

The results showed that participants who multitasked during the lecture scored 11 % lower than participants who did not multitask. The result was significant and consistent with previous studies showing that multitasking during learning negatively affects encoding and transfer of information to long‑term memory.

[Source 1: Faria Sana, Melody Wiseheart and Tina Weston (2014). ‘The direct and indirect effects of
laptop multitasking in higher education.’ Pédagogie Collégiale, vol. 27, no. 2, Winter 2014;
http://aqpc.qc.ca/sites/default/files/revue/Weston-Vol_27-2%2520%28A%29%2520.pdf

Source 2: adapted from Computers & Education, Vol. 62, March 2013, Faria Sana, Tina Weston
and Nicholas J. Cepeda, ‘Laptop multitasking hinders classroom learning for both
users and nearby peers’, pp. 24–31, copyright 2012, with permission from Elsevier;
https://www.sciencedirect.com/science/article/pii/S0360131512002254?via%3Dihub]

Discuss the possibility of generalizing/transferring the findings of the study.

Markscheme

Refer to the paper 3 markbands when awarding marksThese can be found under the “Your tests” tab > supplemental materials.

Marks should be awarded according to the descriptors in the markbands. Each level of the markband corresponds to a range of marks to differentiate candidates' performance. A best-fit approach is used to ascertain which particular mark to use from the possible range for each level descriptor.

The command term “discuss” requires candidates to offer a considered review that includes a range of arguments. Conclusions should be presented clearly and supported by appropriate knowledge of generalizing the findings of the study in the stimulus material.

Generalization means drawing inferences from results of a study to something outside the study (external validity). The study in the stimulus is quantitative. The most appropriate model of generalization would be statistical generalization but that would require a random sample because this is typically representative of the target population.

Discussion points related to the possibility of generalizing/transferring the findings of the study in the stimulus material could include, but are not limited to:

Candidates who use the terms generalization and transferability interchangeably should not be penalized.

Examiners report

This question was by far the one that candidates found most challenging. Generalizability in quantitative research refers to the extent to which findings from a sample can be generalized to an entire population provided that the sample is representative of the population.

Stronger answers referred to the fact that the sample in the experiment was a non-probabilistic convenience sample and based their discussion on knowledge of generalization from sample to population or statistical generalization, but such answers were rather few. Other candidates based their argument on internal and external validity as well as reliability of the results using concepts such as construct validity and population validity. Some of these answers were extremely generic, demonstrating sound knowledge but often it was not linked to the specific study.

Weaker answers only addressed the actual sample – that is, describing students in North America, equal numbers of females and males, etc, but wrote nothing on the sampling method and there was no discussion but rather statements. Such answers scored marks in the lower range. The weakest answers provided very limited statements with typical arguments being that results cannot be generalized to all students as everyone handles multitasking differently, or that multitasking can be distracting to some but not so much to others because some students are really good at multitasking in class, or that the results could not be generalized to older people as their brains are better developed. This kind of argumentation demonstrates a very limited knowledge of generalization in research and scored in the lower range.

It was often seen that candidates mixed up the concepts of generalization and transference, for example, using them interchangeably as if they are the same. Some candidates offered generic answers based on qualitative research such as representational, inferential and theoretical generalization without much understanding of the problems in such an approach in an experiment. Some also used the concept of transference in their argument in spite of the characteristics of the study in the stimulus paper.

Transference is a concept used in qualitative research and it is related to how people interpret the results of a qualitative study in terms of being able to be applied, for example to other populations or settings. However, it is important to notice that this is not an objective approach as with probability sampling and external validity. Some responses offered sensible arguments, especially of representational generalization as similar to generalization from sample to population or used the concept of population validity and this was credited.

Overall it seemed there is a need to teach what is understood by generalization in quantitative research as well as what is understood by transference (as well as representational, inferential and theoretical generalization) in qualitative research to help candidates master these different approaches to research.

Syllabus sections

First exams 2019 - Core » Approaches to researching behavior » Evaluating research (HL P3 only)
First exams 2019 - Core » Approaches to researching behavior » Drawing conclusions (HL P3 only)
First exams 2019 - Core » Approaches to researching behavior
First exams 2019 - Core

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