This lab report examines the effects of two different studying techniques on people’s test performance: massed vs. distributed practice. Massed practice refers to studying or rehearsing information in one period (i.e., cramming), whereas distributed practice (also known as spaced practice) refers to spacing out the time spent studying over several sessions with a break in between (see Figure 1 from Carpenter et al., 2012, p. 370).
Importantly, the key difference is not the amount of time spent studying, but rather when the person spends the time studying and how much time passes between study periods. For example, you can either study for 8 hours straight for an exam (i.e., massed practice) or you can study for one hour each across 8 different days (i.e., distributed practice). I selected this topic because (a) there is a wealth of research for you to draw upon, (b) it is relevant (but not dependent upon) material you will cover in the Memory learning material, and (c) it may shape your own studying strategies in this unit and beyond.
To begin this assignment, you should read pages 262–3 and 302–4 of your Bernstein et al. (2018) text and the provided “starter” articles.
Study Overview and Research Question. Our study, based on Rohrer and Taylor (2006, Experiment 1), compares two study strategies (massed vs. distributed practice) on participants’ performance on either a fill-in-the-blank or multiple-choice test. Thus, this study had two independent variables with two levels each: study strategy (massed vs. distributed practice) and type of test (fill-in-the-blank vs. multiple-choice test).
Participants in both study strategy conditions (massed vs. distributed practice) spent the same amount of time studying: six (6) hours. The only difference was when they studied. Half of the participants studied for six hours on one day (massed practice condition), whereas the other half studied for six hours across three consecutive days (i.e., 2 hours on Day 1, 2 hours on Day 2, 2 hours on Day 3; distributed practice condition).
Participants studied information from their research methods chapter and were tested with a 20- item test. All participants completed the test three (3) weeks after their final study session. Half of the participants completed a test with fill-in-the blank questions, whereas the other half completed a test with multiple-choice questions.
In sum, participants were randomly assigned to one of the four conditions:
The main research question examines how study strategy influenced participants’ test performance and whether that varied by the type of test.
Variables. This study has two independent variables: (1) study strategy (massed practice vs. distributed practice), and (2) type of test (fill-in-the-blank vs. multiple-choice). We are interested in how these two variables interact; that is, how study strategy affects participants’ memory on a fill-in-the-blank test compared to a multiple-choice test. The dependent variable is their performance on the test (i.e., how many questions they answered correctly).
Hypotheses. Hypotheses are specific predictions about the pattern of relationships between variables. In this lab report, you are interested in how study strategy affects participants’ performance on different types of tests. You will need to develop logical and explicit hypotheses about what you expect to find.
With each passing day, the techniques being employed in educating the students are increasingly becoming redundant and that calls for the application of newer methods of teaching students. Gone are the days when it was considered the best technique to stuff the brains of students with information, but in today’s world the stress is more on ensuring that the student is being able to absorb and imbibe the course which they are supposed to be taught. This has led to a debate between masses and distributed teaching practices. Naturally, this has necessitated the need to divide the dissemination of course material in multiple sessions (Bernstein, 2000). This report thus seeks to provide an overview of what spaced learning as a technique entails and on the basis of the reading of a selected list of essays, a research shall be conducted. In the following sections an account of the literature review and the findings of the report shall be provided.
Shana K. Carpenter, Nicholas J. Cepeda, Doug Rohrer, Sean H. K. Kang and Harold Pashler (2012) in their article provides an overview of the benefits that students shall be reaping if they are made to study information related issues in fragmented sessions. This approach, as per their views is a product of the findings and reports based on the latest researches conducted for identifying the best methods of instruction and what could be the possible implications of it. They have laid a great deal of emphasis on the method of teaching students over multiple sessions, rather than in a single session, which they consider the best for enhancing the cognitive skills and memory retention of a student. The nature of the study is deductive in nature as it seeks to provide inferences and recommendations which reinstate the advantages of following a specific mode for teaching students. The drawback in this research is that the scholars have not made any mention with regard to the disadvantages of the method. Similarly, the recommendations have focused exclusively on the technicalities of how to derive best results out of correct application of the method. There have not been any mention throughout the essay on how to maneuver the challenges the system shall pose. Nevertheless, the novelty of the method lies in the fact that it provides enough space to the student to develop the intellectual strength.
Doug Rohrer and Kelli Taylor (2006), like the previous group of scholars have argued in favour of alternative methods of learning which shall provide enough time and scope to the student to absorb the essence of the knowledge of what they are learning. Rohrer and Taylor (2006) have also harped on distributing the course into sessions, naturally the method of learning propounded is technically not very different. However, the differences in the approach cannot be ignored. Rohrer and Taylor have provided justifications for applying the method for improving the methods of teaching mathematics to students, but the previous group have provided a generalized account with regard to the applicability of the method to all disciplines invariably. Rohrer and Taylor have also provided for manipulative methods in case the need for teaching an overwhelmingly gigantic task crops up. This gives their research a cutting edge as they have attempted to chalk out solutions for emergency situations, hinting at the judiciousness and preparedness for all situations.
Gui Xue, Leilei Meil, Chuansheng Chen, Zhong-Lin Lu, Russell Poldrack, and Qi Dong (2014) stresses upon the biological aspect to substantiate their argument favouring distributing the teaching of a course material in multiple sessions. They have come up with their study focusing on the harm that forceful methods of learning which tend to overburden the student do to the nervous system and to the brain. They argue that the nervous system and the functioning of the brain is very delicate and any amount of stress which exceeds the tolerable limits can cause adverse effects to the human body. They relate the effect mental health could have on physical health using scientific arguments deduced on the basis of experiments and collection of empirical data. On the basis of it they have favoured the spaced learning mode of instruction which they hold as the only justified form of teaching to the students, since it is pointless to have a system of education that shall contribute to the cognitive capacities of a student. In the experiments conducted by them, spaced learning has produced the most positive results favouring the learning abilities of a student. Apart from spaced learning, the application of repetitive methods of learning also helps in enhancing the memory power of a student, in their opinion.
Hailey S. Sobel, Nicholas J. Cepeda and Irina V. Kapler (2011) provides a dichotomous understanding of analysis of teaching methods in classroom and that when tested in a psychology laboratory. They opine that the approach which a teacher at a classroom applies is essentially oriented towards loading the brains of the students with as many information within the shortest possible time, and that is considered by teachers to be the best method of teaching. However when the same principle is tested in a laboratory, within an environment governed by controlled mechanism, the results have proven to be negative. Methods of mass learning and overburdening students with information might prove beneficial for the initial phase but in the long run they tend to result in declining rate of productivity and level of performance on part of the student. Hence, they stress upon spaced learning and they also favour the method which devotes special attention to students on an individual basis. Their focus was exclusively on the learning abilities of a student with particular reference to learning words from English language. However, the methods and techniques they had used to reach at their conclusuons can be generally applicable as well.
Sean H. K. Kang (2016) expressing deep concerns for the lack of productivity on part of the students in the United States of America in mathematics and science when compared to other countries of the world, argues in favour of introducing spaced learning mode of instruction in the country. His work is based on an extensive study of cognitive and education psychology. He infers that the number of hours a student spends in school is just as important as the method of instruction he or she is being subjected to. Hence he lays a lot of emphasis on spaced learning as a technique to enhance the learning experience of a student. He also opines that practice is also an equally important factor in enhancing the learning experience. For the desired effect of spaced learning to be manifested, it must be ensured that the space learning mode of teaching be coupled with practice effect. He had discussed about the possible obstacles that could hinder space learning but had made no effort to show the negative outcomes of spaced learning or the drawbacks of the method.
From the above discussion it becomes clear that the scholars have argued in favour of spaced learning with a supportive and evidential account of the benefits entailed in the method. Some have also pointed the potential obstacles that could hinder the process of spaced learning, but none of them have actually pointed out the remedies that should be applied in case the method fails to achieve the desired effect. It must also be acknowledged that the scholars have tried to view the problem from different angles and had thereby suggested different possibilities to the reach the same end albeit.
Lured by the opportunity to avail academic credit, a total strength of 274 students had been enrolled into an online study conducted by the Swinburne Psychology Research Experience Program. Out of the total strength, 35 students had opted out, which made conducting the research possible only with 234 students, majority of whom were women accounting for 70 percentage. 27.62 percentage were men folks while 1.67 percentage of the actual strength identified themselves as gender non-binaries. All of the members fell within the age bracket of 18 to 65. The mean has come to 21.34 and the rate of standard deviation at 3.12.
The participants were required to study the second chapter of the book; Pedagogy, symbolic control, and identity: Theory, Research, Critique; which deals with the methods employed in conducting researches in psychology related matters. There were separate sets of questionnaires which tested the cognitive and the memory skills of students, in form of both direct questions and multiple choice questions. There were also question which were related to questions related to the demographic composition of the chosen lot so that appropriating the results becomes easier.
The actual strength of the sample was divided into two sections randomly. One section had received instructions on massed practice condition, while the remaining half had received the instructions on distributed practice condition. They were instructed to log into an online portal and had just twenty five minutes to complete the test, on the basis of which the inferences of the study was arrived at.
The interviewees were aware of the fact that they were being interviewed for a specific academic purpose and they had the liberty to withdraw themselves the moment they felt they should no longer continue. The interviewees were convinced of the genuineness of the research programme when the fact that it had been approved by the Swinburne University Human Research Ethics Committee (SUHREC), which is a reputed institutions. The interviewees were also persuaded to not expect any form of remuneration as the entire programme was unpaid, as it was supposed to be a part of the curriculum. All the necessary information had been disseminated so that the interviewees could make an informed choice of entering into the project. In adherence with the principles of research ethics, strict privacy has been maintained with regard to the privacy of the interviewees who had volunteered for the research project. Hence, it can be safely deduced that the entire procedure had been conducted by strictly abiding by the academically approved and recognized method of conducting the research.
Two kinds of questionnaires were there, one was a set of, ‘fill in the blanks’, and the other a set of multiple choice questions. The questions were different for interviewees answering on mass learning procedure and distributed learning practice. The mean value of interviewees answering on mass learning for fill in the blanks have been 12.36 and the standard deviation 1.53. The mean value for the lot answering on distributed learning had been 15.47 and the median, 1.52. The mean value for interviewees answering the multiple choice on mass learning was 17.03 and the standard deviation 2.87. The mean value for interviewees answering the multiple choice on distributed learning was 16.59 and the standard deviation 1.45. In the next section the results shall be analyzed.
The total number of correct responses generated from the interviewees answering for mass learning in the fill in the blanks have been 741.60 and for multiple choice have been 1038.83. The total number of correct responses generated from the interviewees answering for distributed learning in the fill in the blanks have been 928.20 and for multiple choice had been 962.22. The total number of correct responses for candidates answering for mass learning have been 1780.45 and that for the interviewees answering for distributed learning, 1891.02. This leads us to the analysis that distributed learning is a better and more feasible option to teach students, as the results have been better for the candidates answering for distributed learning. Though the number of candidates appearing for distributed learning had been less, 118, while for mass learning it had been more, 121, the former had scored better.
Based on the appropriation reached at by the research data, it becomes very clear that distributed learning is a more effective method of learning. Despite having less number of candidates the candidates appearing for distributed learning had scored more. The margin might not be too large, but the results are nevertheless in favour of distributed learning. This matching of the results of the mathematical data and that of the conclusion of the literature review, both being in support of distribute learning shows that Distributed learning is a better option.
Bernstein, B. B. (2000). Pedagogy, symbolic control, and identity: Theory, research, critique (No. 4). Rowman & Littlefield.
Carpenter, S. K., Cepeda, N. J., Rohrer, D., Kang, S. H., & Pashler, H. (2012). Using spacing to enhance diverse forms of learning: Review of recent research and implications for instruction. Educational Psychology Review, 24(3), 369-378.
Kang, S. H. (2016). Spaced repetition promotes efficient and effective learning: Policy implications for instruction. Policy Insights from the Behavioral and Brain Sciences, 3(1), 12-19.
Rohrer, D., & Taylor, K. (2006). The effects of overlearning and distributed practise on the retention of mathematics knowledge. Applied Cognitive Psychology: The Official Journal of the Society for Applied Research in Memory and Cognition, 20(9), 1209-1224.
Sobel, H. S., Cepeda, N. J., & Kapler, I. V. (2011). Spacing effects in real?world classroom vocabulary learning. Applied Cognitive Psychology, 25(5), 763-767.
Xue, G., Chen, C., Jin, Z., & Dong, Q. (2006). Cerebral asymmetry in the fusiform areas predicted the efficiency of learning a new writing system. Journal of Cognitive Neuroscience, 18(6), 923-931.
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