Abstract
This research work was looking to determine the effect of Levels of Processing (LOP) on memory retention of undergraduates. The question was structured on the different levels of processing (shallow, intermediate and deep), leading to other kinds of retention. Targeted a study employing verbal cuing and a recognition memory task by allocating depth of processing across the three conditions. Participants took part in those tasks that required reprocessing information either at a shallow, intermediate or deep level and then completed a recognition test. The result indicated that the levels of processing affected retention immensely, as the tasks that needed a more profound analysis had higher retention rates. These data, reinforced by the depth of processing theory, imply that successful memory recollection relies on encoding tactics.
Keywords: levels of processing, memory retention, recognition memory, depth of processing theory
The Impact of Different Levels of Processing on Memory Retention
The study by Ovalle-Fresa et al. (2021) determined the levels of processing (LOP) and did four experiments related to visual associative memory to see the effects. They used monochrome colours to connect the tissue between shapes of different types and considered object-colour associations and connections between fractal and colour. The hybrid LOP inhibited reliable recognition memory properties that no non-LOP researchers had ever reported. In the experiment, they showed that more profound levels of processing led to the generation of a stronger memory and, thus, a better remembering of object-color associations. Consequently, they expanded their HOR models to include cued recall tasks, which could be explained with a mechanism where the depth of processing drives remembering or activation of memory rather than enhancing the memory level of precision. However, Ovalle-Fresa and colleagues (2021) also noted associative interference effects can be seen in initial visual perceptual features during LOP, emphasizing the role of semantic involvement in memory encoding.
Tekin and Roediger (2020) explored the JOL’s responsiveness in a LOP scenario. They sought to determine if just below the reversal point (JOL) made learning this optimal point (LOP) more effective. Their memory experiments found the broadness of JOL responsivity under the artificial gravity LOP simulation with three experiments. As a result, the evidence presented supported these researchers’ suggestion that, under certain conditions, JOLs may attest to working memory performance improvement. Therefore, they proposed the JOLs method (judges of learning) as a data verification method that can strengthen the information used to solve problems or a tool that can boost performance, focusing on those considered to have been solved. On the one hand, they mentioned the somewhat ambiguous responses that JOLs evoke and, on the other, they reported a need for more detailed investigations so that the issue of JOL reactivity in the LOP framework would be reliably resolved.
This study will deal with the influence of LOP on word memory. The research question concerns the implications of processing degree and the increase in word recall in a study from shallow to deep levels. In this research, the objective is to find out if participants could record a higher sustainment ratio on words based at the deeper level of processing only to those processed at the shallower levels. The experimental hypothesis postulates that participants who have processed vocabulary on a deeper level would achieve a higher recall rate. However, the individuals who processed vocabulary superficially would achieve a different recall proportion. This aligns with earlier views on the scheme involved within the LOP theory, which says that deeper processing and analysis are significant factors in long-term memory retention. The experiment aims to gain better insight into memory mechanisms by varying the depth of processing and measuring word recall. This study is meant to contribute to the practical implications of processing depth on memory processing.
Method
Participants
The experiment was carried out by 63 people who accessed the platform through the COGLAB service. Subjects’ ages ranged from 18 to 30 years, with a mean age of 22 and an SD of 2.5. The gendered composition resembled accurate proportions, where roughly the same number of men and women partook. Participation in the experiment was voluntary; they were informed that there would be a contribution to academic research in memory processes due to their participation. Specific criteria were not established for selecting participants. Hence, they were given general insights based on age and diverse backgrounds to generalize findings. Study participants conveniently joined a remote experiment using the COGLAB platform, which was just a click away from their computer. They had an essential role in completing the study but needed to be commercially compensated for their scientific research efforts. Unlike previous studies, which mostly involved samples from single demographic groups, this study included diverse samples that could generalize the findings across different groups and enhance the external validity. Oppositely, gender fairness ensured that the study was not skewed by the possible effects of gender on memory performance. This allowed for a more detailed assessment of the impact of processing levels on word recall. Overall, the case study of voluntary participation and various types of representation through the process of the experimental investigation became a means for the scientific experiment to confirm the ethicality.
Apparatus (Materials/Stimuli)
The central part of the experiment setup was the COGLAB platform, a readily available online tool several research labs have adopted to conduct their psychological experiments. This experiment, which investigates the impact of degree of processing on COGLAB, is being performed only within the confines of COGLAB. The participants entered the experiment remotely with their personal computers and internet access. The experiment procedure within the COGLAB paradigm was programmed to present stimuli automatically and record the participants’ reactions across all the participants, which were standardized in methods and procedures. The material shown to respondents comprised words related to the task, which had differing lengths and levels of meaning to assist in the different processing modes adopted by participants. The experiment displayed these stimuli meticulously on a computer screen under control mode. The participants were asked to process each word according to any given processing level (shallow, intermediate, or deep).
On top of that, COGLAB provided the prototype for applying counterbalanced designs, leaving every experience randomized, through which possible order effects were minimized. The study procedure was designed to accurately measure the participants and gather data relevant to the processing effect levels. These were the response times and the accuracy rates, which were analyzed later for the recall of the words.
Experimental Design
The experimental approach participated in a between-subjects research design to learn how processing (LOP) levels impacted word recall. The independent variable, LOP, was manipulated across three levels: surface or crust processing, intermediate processing, and profound structure processing. The assignment was done randomly, and the participants were allotted strict conditions to ensure that each participant only experienced one level of processing throughout the experiment. In the case of shallow processing, the participants were shown the upper case letter words and instructed to look at the physical features instead of the meaning of the words. In the middle of the experimental procedure, participants were assigned to determine whether a presented word rhymed with a given term, showing semantic representation. Ultimately, it was suggested that the deep processing condition group analyze the semantic properties of the presented words, which apply to a higher level of semantic processing.
An equal number of subjects in the random sequence of conditions was established by counterbalanced randomization of order to rule out any potential order effects. Furthermore, to prevent bias and have all participant conditions equally represented, the assignment was conducted randomly and in such a way that all had a comparable sample size. The dependent variable that was closely examined was the percentage of words successfully remembered during the recognition part of the experiment. The participants had a re-writing of the phrase earlier, and those they had seen during the learning phase were mixed among new ones. For the next stage, they had to identify the words previously seen. In the recognition stage, the memory retention level was evaluated for visual or verbal stimuli, depending on the level of processing. Through both the encoding and recognition processes, the experiment measured the dependent variable to capture the immediate effects of encoding depth on memory initially and the subsequent effects of recognition of this memory later on.
Procedure
In the experiment, participants logged into the COGLAB platform. They were randomly assigned to one of the three levels of processing conditions: the more profound the processing, the richer the experience. Each participant underwent the same process, with a few details changed based on the feedback they received about their particular condition. Shallow processing participants were directed to concentrate on the visual features of the presented words, which were supplied in uppercase form. They were told not to mind the capital-letter shaping of the words and just to read them out and assemble the images. In the separate conditions, participants were asked to judge a couple of words crossed out there that suited a specific pattern. Through this activity, the study discovered that participants became engaged in the phonemic process, using this as a platform to learn the sounds of the various words rather than their visual or semantic features. The experimental group of the deep processing condition had to accept the role of producing semantic judgments for presented words, for instance, determining whether a given word was inside a particular category or had a specific sense. Thus, this task was more than just an act of recalling. It facilitated deeper, more analytical behaviours by using meaning as a unit.
While recruiting participants for the experiment, the assigned processing condition for each participant helped with the word presentation. Each word was projected one by one on the screen. According to the instructions, individuals did the suggested operations for each word. The pace of the currents was calibrated to ensure the proper time for participants to process each word sufficiently. At the end of the learning segment, the participants had a phonological discrimination phase in which a list comprising of words, some of which were learned and others new, was presented to them. Participants were told to press a marked key to judge the sentence as old or new. The assessment phase was set to check different memory retention levels following encoding, storage, and retrieval. Finally, the experiment enabled us to conduct the procedure sequentially and focused on understanding the effect of depth of processing on the number of words recalled.
Results
Findings showed substantial improvement in the recall of the text after applying the different levels of text processing to the verbatim condition. The conduction of ANOVA on the recognition test was proof of the significance of processing levels on retention. The ANOVA showed that the variable used, the level of processes, was essential to the result (F (2, 40) = 64.6, p < .0001). Von Tukey’s HSD post hoc tests were conducted further to investigate the discrepancies between the three levels of processing. The findings from Tukey’s HSD showed a statistically significant difference in all pairs of levels of processing, with a significance level of less than 0.01 for all tests. The most notable result of this approach was that the ones listening carefully in the deep processing condition boasted significantly higher retention levels than the intermediate and shallow processing groups.
Moreover, discrepancies identified by participants in processing condition 2 were significantly higher than individuals’ reported findings from processing condition 3. Therefore, as per the present research, there is a relationship between the deeper levels of processing and the high retention rate, whereas shallower processing is least likely to result in the retention of the information. The mean proportion correct identification scores for each processing condition were as follows: shallow processing of speeches (M = 0.435714), intermediate processing of speeches (M = 0.619048) and deep processing of the speeches (M = 0.816667).
Discussion
LOP effect on memorizing the stimuli was the focus of this study, and whether the pre-processing stage has some impact on memory retention was answered successfully. The experimental query seeks significant depreciation in the residence of information for different levels of processing (deep, intermediate, and shallow). The idea was that involving learners in meaningful and relevant activities would lead to higher retention than the limited memory-basing activities.
The research conclusion reached the expected result, proving that the extent of the processing principle effectively improved retention. Subjects involved in extra processing tasks showed more improvement in retention rates than those engaged in shallow processing tasks. These results align with previous research findings, including those discussed in the three articles analyzed. For instance, Tekin and Roediger (2020) investigated the reactivity of judgements of learning (JOLs) in a Finding made by Ovalle-Fresa et al. (2021) about the effects of levels of processing on visual, associative memory and finally, seminal work on the depth of processing and retention of words in episodic memory was conducted by Craik and Tulving.
Tekin and Roediger (2020) highlighted the role of JOLs in modulating learning behaviours and pointed out that JOLs affect memory test results. In turn, Ovalle-Fresa et al. (2021) have applied the idea of the depth of information processing to the general associative memory of visual stimuli. Their study shows that deeper encoding significantly helps in object-color association recognition. However, Craik and Tulving had already formulated the depth of processing theory months before, which is one of the fundamentals of the recent study showing that the greater the depth of semantic processing, the better the retention is.
The examination’s findings not only add to but also constitute a bearing on the current body of research that implemented level-processing in the experiment design. Deep processing techniques can be used systematically and tested for retention so that more evidence can be provided to clarify the depth of processing theory with varied types of media and memory tasks. This line of thought can be used to explain that more developed processing mechanisms result in better memory representations, which in turn leads to increased longevity.
However, the study procedure may need some modifications, which can be done following the principles of the previous research. An illustration is the Ovalle-Fresa et al. (2021), which evaluated recognition memory of object-colour associations; the opposing study addressed verbal stimuli and recognition memory. The results of different stimuli and mnemonic exercises in the study might have resulted in varied results based on that data.
The research also includes some areas for improvement that must be considered in future studies. An example is the study that used Amazon’s Mechanical Turk to recruit participants whose reliability as an exact representation of the general population is unknown. As a scope for the following research, it is necessary to consider using a diverse sample to enhance the external validity of the outcomes. Similarly, canvassing the influence of individual divergences, such as cognitive abilities and background knowledge, can also open more doors to the cause of the depth of processing effect, leading to better memory.
This study proves the significance of depth in processing for permanent memory retention and adds to other research fields, such as memory process investigation. Appreciating why the levels of processing affect memory performance has many fundamental aspects. These revolve around the successful strategies and interventions that should be employed in the education system and cognitive programs to improve learning outcomes. To promote recalls as far as possible, instruction that concerns efficient encoding by encouraging deeper processing can be done among educators and learners to achieve long-term retention and more robust educational practice.
References
Tekin, E., & Roediger III, H. L. (2020). Reactivity of judgments of learning in a levels-of-processing paradigm. Zeitschrift für Psychologie.https://doi.org/10.1027/2151-2604/a000425
Ovalle-Fresa, R., Uslu, A. S., & Rothen, N. (2021). Levels of processing affect perceptual features in visual associative memory. Psychological Science, 32(2), 267–279.https://doi.org/10.1177/0956797620965519
Craik, F. I., & Tulving, E. (1975). Depth of processing and the retention of words in episodic memory. Journal of Experimental Psychology: General, 104(3), 268.
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